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ORCIDWACV 2020: Snowmass Village, CO, USA
- IEEE Winter Conference on Applications of Computer Vision, WACV 2020, Snowmass Village, CO, USA, March 1-5, 2020. IEEE 2020, ISBN 978-1-7281-6553-0
- Lu Sang
, Bjoern Haefner, Daniel Cremers:
Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach. 1-10 - Seyed Shahabeddin Nabavi, Mehrdad Hosseinzadeh, Ramin Fahimi, Yang Wang:
Unsupervised Learning of Camera Pose with Compositional Re-estimation. 11-20 - Sameera Ramasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Blended Convolution and Synthesis for Efficient Discrimination of 3D Shapes. 21-31 - Ang Li, Zejian Yuan, Yonggen Ling, Wanchao Chi, Shenghao Zhang, Chong Zhang:
A Multi-Scale Guided Cascade Hourglass Network for Depth Completion. 32-40 - Chuhang Zou, Derek Hoiem:
Silhouette Guided Point Cloud Reconstruction beyond Occlusion. 41-50 - Suryansh Kumar:
Non-Rigid Structure from Motion: Prior-Free Factorization Method Revisited. 51-60 - Yongbin Sun, Yue Wang, Ziwei Liu, Joshua E. Siegel, Sanjay E. Sarma:
PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention. 61-70 - Chao Qu, Ty Nguyen, Camillo J. Taylor:
Depth Completion via Deep Basis Fitting. 71-80 - Shubham Agrawal, Anuj Pahuja, Simon Lucey:
High Accuracy Face Geometry Capture using a Smartphone Video. 81-90 - Zirui Wang, Shuda Li, Henry Howard-Jenkins, Victor Adrian Prisacariu, Min Chen:
FlowNet3D++: Geometric Losses For Deep Scene Flow Estimation. 91-98 - David Hart, Jessica Greenland, Bryan S. Morse:
Style Transfer for Light Field Photography. 99-108 - Jerin Geo James, Ajit Rajwade:
Fourier Based Pre-Processing For Seeing Through Water. 109-117 - Yingqian Wang, Tianhao Wu, Jun-Gang Yang, Longguang Wang, Wei An, Yulan Guo:
DeOccNet: Learning to See Through Foreground Occlusions in Light Fields. 118-127 - Ryo Kawahara, Meng-Yu Jennifer Kuo, Shohei Nobuhara, Ko Nishino:
Appearance and Shape from Water Reflection. 128-136 - Charles Hessel, Jean-Michel Morel:
An Extended Exposure Fusion and its Application to Single Image Contrast Enhancement. 137-146 - Abdullah Abuolaim, Michael S. Brown:
Online Lens Motion Smoothing for Video Autofocus. 147-155 - Cedric Scheerlinck, Henri Rebecq, Daniel Gehrig, Nick Barnes, Robert E. Mahony, Davide Scaramuzza:
Fast Image Reconstruction with an Event Camera. 156-163 - Yicun Liu, Jiawei Zhang, Ye Ma, Jimmy S. Ren:
Self-Guided Novel View Synthesis via Elastic Displacement Network. 164-173 - Johannes Rangel, Robert Schmoll, Andreas Kroll:
On Scene Flow Computation of Gas Structures with Optical Gas Imaging Cameras. 174-182 - Kyle Yee, Ayan Chakrabarti:
Fast Deep Stereo with 2D Convolutional Processing of Cost Signatures. 183-191 - Jan Kallwies, Torsten Engler, Bianca Forkel, Hans-Joachim Wuensche:
Triple-SGM: Stereo Processing using Semi-Global Matching with Cost Fusion. 192-200 - Wei Jiang, Juan Camilo Gamboa Higuera, Baptiste Angles, Weiwei Sun, Mehrsan Javan, Kwang Moo Yi:
Optimizing Through Learned Errors for Accurate Sports Field Registration. 201-210 - Jing Zhu, Yi Fang:
Reference Grid-assisted Network for 3D Point Signature Learning from Point Clouds. 211-220 - Torben Fetzer, Gerd Reis, Didier Stricker:
Stable Intrinsic Auto-Calibration from Fundamental Matrices of Devices with Uncorrelated Camera Parameters. 221-230 - Lingzhi Zhang, Tarmily Wen, Jianbo Shi:
Deep Image Blending. 231-240 - Fania Mokhayeri, Kaveh Kamali, Eric Granger:
Cross-Domain Face Synthesis using a Controllable GAN. 241-249 - Vítor Albiero, Kevin W. Bowyer, Kushal Vangara, Michael C. King:
Does Face Recognition Accuracy Get Better With Age? Deep Face Matchers Say No. 250-258 - Zhaokang Chen, Bertram E. Shi:
Offset Calibration for Appearance-Based Gaze Estimation via Gaze Decomposition. 259-268 - Sushma Venkatesh, Raghavendra Ramachandra, Kiran B. Raja, Luuk J. Spreeuwers, Raymond N. J. Veldhuis, Christoph Busch:
Detecting Morphed Face Attacks Using Residual Noise from Deep Multi-scale Context Aggregation Network. 269-278 - Philipe A. Dias, Damiano Malafronte, Henry Medeiros, Francesca Odone:
Gaze Estimation for Assisted Living Environments. 279-288 - Sandipan Banerjee, Walter J. Scheirer, Kevin W. Bowyer, Patrick J. Flynn:
On Hallucinating Context and Background Pixels from a Face Mask using Multi-scale GANs. 289-298 - Harsimran Kaur, Roberto Manduchi:
EyeGAN: Gaze-Preserving, Mask-Mediated Eye Image Synthesis. 299-308 - Ali Dabouei, Fariborz Taherkhani, Sobhan Soleymani, Jeremy M. Dawson, Nasser M. Nasrabadi:
Boosting Deep Face Recognition via Disentangling Appearance and Geometry. 309-318 - Seyed Mehdi Iranmanesh, Ali Dabouei, Sobhan Soleymani, Hadi Kazemi, Nasser M. Nasrabadi:
Robust Facial Landmark Detection via Aggregation on Geometrically Manipulated Faces. 319-329 - Yoav Shalev, Lior Wolf:
End to End Lip Synchronization with a Temporal AutoEncoder. 330-339 - Anurag Chowdhury, Simon Kirchgasser, Andreas Uhl, Arun Ross:
Can a CNN Automatically Learn the Significance of Minutiae Points for Fingerprint Matching? 340-348 - Julia Gong, Yannick Hold-Geoffroy, Jingwan Lu:
AutoToon: Automatic Geometric Warping for Face Cartoon Generation. 349-358 - Ratheesh Kalarot, Tao Li, Fatih Porikli:
Component Attention Guided Face Super-Resolution Network: CAGFace. 359-369 - Yifei Chen, Haoyu Ma, Deying Kong, Xiangyi Yan, Jianbao Wu, Wei Fan, Xiaohui Xie:
Nonparametric Structure Regularization Machine for 2D Hand Pose Estimation. 370-379 - Jiajun Gu, Zhiyong Wang, Wanli Ouyang, Weichen Zhang, Jiafeng Li, Li Zhuo:
3D Hand Pose Estimation with Disentangled Cross-Modal Latent Space. 380-389 - Wei Li, Shang Zhao, Xiao Xiao, James K. Hahn:
Robust Template-Based Non-Rigid Motion Tracking Using Local Coordinate Regularization. 390-399 - Liangjian Chen, Shih-Yao Lin, Yusheng Xie, Yen-Yu Lin, Wei Fan, Xiaohui Xie:
DGGAN: Depth-image Guided Generative Adversarial Networks for Disentangling RGB and Depth Images in 3D Hand Pose Estimation. 400-408 - Yilun Zhang, Hyun Soo Park:
Multiview Supervision By Registration. 409-417 - Fuyang Huang, Ailing Zeng, Minhao Liu, Qiuxia Lai, Qiang Xu:
DeepFuse: An IMU-Aware Network for Real-Time 3D Human Pose Estimation from Multi-View Image. 418-427 - Stéphane Lathuilière, Enver Sangineto, Aliaksandr Siarohin, Nicu Sebe:
Attention-based Fusion for Multi-source Human Image Generation. 428-437 - Caterina Buizza, Tobias Fischer, Yiannis Demiris:
Real-Time Multi-Person Pose Tracking using Data Assimilation. 438-447 - Yuliang Zou, Jimei Yang, Duygu Ceylan, Jianming Zhang, Federico Perazzi, Jia-Bin Huang:
Reducing Footskate in Human Motion Reconstruction with Ground Contact Constraints. 448-457 - Jogendra Nath Kundu, Rahul M. V., Jay Patravali, R. Venkatesh Babu:
Unsupervised Cross-Dataset Adaptation via Probabilistic Amodal 3D Human Pose Completion. 458-467 - Dong-Hyun Hwang, Suntae Kim, Nicolas Monet, Hideki Koike, Soonmin Bae:
Lightweight 3D Human Pose Estimation Network Training Using Teacher-Student Learning. 468-477 - Iljung S. Kwak, Jian-Zhong Guo, Adam W. Hantman, Kristin Branson, David J. Kriegman:
Detecting the Starting Frame of Actions in Video. 478-486 - Srijan Das, Monique Thonnat, François Brémond:
Looking deeper into Time for Activities of Daily Living Recognition. 487-496 - Junnan Li, Jianquan Liu, Yongkang Wang, Shoji Nishimura, Mohan S. Kankanhalli:
Weakly-Supervised Multi-Person Action Recognition in 360° Videos. 497-505 - A. J. Piergiovanni, Michael S. Ryoo:
Learning Multimodal Representations for Unseen Activities. 506-515 - Oytun Ulutan, Swati Rallapalli, Mudhakar Srivatsa, Carlos Torres, B. S. Manjunath:
Actor Conditioned Attention Maps for Video Action Detection. 516-525 - Basura Fernando, Cheston Yin Chet Tan, Hakan Bilen:
Weakly Supervised Gaussian Networks for Action Detection. 526-535 - Ashraful Islam, Richard J. Radke:
Weakly Supervised Temporal Action Localization Using Deep Metric Learning. 536-545 - Sadjad Asghari-Esfeden, Mario Sznaier, Octavia I. Camps:
Dynamic Motion Representation for Human Action Recognition. 546-555 - Andrew Kae, Yale Song:
Image to Video Domain Adaptation Using Web Supervision. 556-564 - Pallabi Ghosh, Yi Yao, Larry S. Davis, Ajay Divakaran:
Stacked Spatio-Temporal Graph Convolutional Networks for Action Segmentation. 565-574 - Sheng Li, Tingting Jiang, Tiejun Huang, Yonghong Tian:
Global Co-occurrence Feature Learning and Active Coordinate System Conversion for Skeleton-based Action Recognition. 575-583 - Yang Bo, Yangdi Lu, Wenbo He:
Few-Shot Learning of Video Action Recognition Only Based on Video Contents. 584-593 - Min-Hung Chen, Baopu Li, Yingze Bao, Ghassan AlRegib:
Action Segmentation with Mixed Temporal Domain Adaptation. 594-603 - Maheen Rashid, Hedvig Kjellström, Yong Jae Lee:
Action Graphs: Weakly-supervised Action Localization with Graph Convolution Networks. 604-613 - Jonathan C. Stroud, David A. Ross, Chen Sun, Jia Deng, Rahul Sukthankar:
D3D: Distilled 3D Networks for Video Action Recognition. 614-623 - Sangwoo Cho, Muhammad Hasan Maqbool, Fei Liu, Hassan Foroosh:
Self-Attention Network for Skeleton-based Human Action Recognition. 624-633 - Junqin Huang, Zhenhuan Huang, Xiang Xiang, Xuan Gong, Baochang Zhang:
Long-Short Graph Memory Network for Skeleton-based Action Recognition. 634-641 - Daisuke Miki, Shi Chen, Kazuyuki Demachi:
Weakly Supervised Graph Convolutional Neural Network for Human Action Localization. 642-650 - Guillaume Lorre, Jaonary Rabarisoa, Astrid Orcesi, Samia Ainouz, Stéphane Canu:
Temporal Contrastive Pretraining for Video Action Recognition. 651-659 - Kai Shuang, Yuheng Huang, Yue Sun, Zhun Cai, Hao Guo:
Fine-Grained Motion Representation For Template-Free Visual Tracking. 660-669 - Heon Song, Daiki Suehiro, Seiichi Uchida:
Adaptive Aggregation of Arbitrary Online Trackers with a Regret Bound. 670-678 - Olly Styles, Tanaya Guha, Victor Sanchez:
Multiple Object Forecasting: Predicting Future Object Locations in Diverse Environments. 679-688 - Qi Feng, Vitaly Ablavsky, Qinxun Bai, Guorong Li, Stan Sclaroff:
Real-time Visual Object Tracking with Natural Language Description. 689-698 - Yubo Qiu, Jonathon Malcolm, Abhay Vatoo, Sheikh Ziauddin, Michael A. Greenspan:
Inverse Rectification for Efficient Procam Pattern Correspondence. 699-707 - Jiahe Li, Xu Gao, Tingting Jiang:
Graph Networks for Multiple Object Tracking. 708-717 - Qixiang Ma, Longyu Jiang, Wenxue Yu, Rui Jin, Zhixiang Wu, Fangjin Xu:
Training with Noise Adversarial Network: A Generalization Method for Object Detection on Sonar Image. 718-727 - Jong-Chyi Su, Yi-Hsuan Tsai, Kihyuk Sohn, Buyu Liu, Subhransu Maji, Manmohan Chandraker:
Active Adversarial Domain Adaptation. 728-737 - Han-Kai Hsu, Chun-Han Yao, Yi-Hsuan Tsai, Wei-Chih Hung, Hung-Yu Tseng, Maneesh Kumar Singh, Ming-Hsuan Yang:
Progressive Domain Adaptation for Object Detection. 738-746 - Ahmed Taha, Yi-Ting Chen, Teruhisa Misu, Abhinav Shrivastava, Larry Davis:
Boosting Standard Classification Architectures Through a Ranking Regularizer. 747-755 - Joya Chen, Bin Luo, Qi Wu, Jia Chen, Xuezheng Peng:
Overlap Sampler for Region-Based Object Detection. 756-764 - Ujjwal, Aziz Dziri, Bertrand Leroy, François Brémond:
A One-and-Half Stage Pedestrian Detector. 765-774 - Jiayi Shen, Haochen Wang, Anran Zhang, Qiang Qiu, Xiantong Zhen, Xianbin Cao:
Model-Agnostic Metric for Zero-Shot Learning. 775-784 - Matthew Gwilliam, Ryan Farrell:
Intelligent Image Collection: Building the Optimal Dataset. 785-794 - Ephraim Lo, JoHannah Kohl:
Internet of Things (IoT) Discovery Using Deep Neural Networks. 795-803 - Ho-Deok Jang, Sanghyun Woo, Philipp Benz, Jinsun Park, In So Kweon:
Propose-and-Attend Single Shot Detector. 804-813 - Jeng-Hau Lin, Justin Lazarow, Yunfan Yang, Dezhi Hong, Rajesh K. Gupta, Zhuowen Tu:
Local Binary Pattern Networks. 814-823 - Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri:
Leveraging Filter Correlations for Deep Model Compression. 824-833 - Shih-Han Chou, Cheng Sun, Wen-Yen Chang, Wan Ting Hsu, Min Sun, Jianlong Fu:
360-Indoor: Towards Learning Real-World Objects in 360° Indoor Equirectangular Images. 834-842 - Jie Zhang, Junting Zhang, Shalini Ghosh, Dawei Li, Jingwen Zhu, Heming Zhang, Yalin Wang:
Regularize, Expand and Compress: NonExpansive Continual Learning. 843-851 - Sara Beery, Yang Liu, Dan Morris, Jim Piavis, Ashish Kapoor, Markus Meister, Neel Joshi, Pietro Perona:
Synthetic Examples Improve Generalization for Rare Classes. 852-862 - Zhi Chen, Jingjing Li, Yadan Luo, Zi Huang, Yangyang Yangyang:
CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language. 863-872 - Pravendra Singh, Pratik Mazumder, Vinay P. Namboodiri:
Accuracy Booster: Performance Boosting using Feature Map Re-calibration. 873-882 - Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan:
Generating Positive Bounding Boxes for Balanced Training of Object Detectors. 883-892 - Wenju Xu, Guanghui Wang, Alan Sullivan, Ziming Zhang:
Towards Learning Affine-Invariant Representations via Data-Efficient CNNs. 893-902 - Cody Blakeney, Yan Yan, Ziliang Zong:
Is Pruning Compression?: Investigating Pruning Via Network Layer Similarity. 903-911 - Ali Cheraghian, Shafin Rahman, Dylan Campbell, Lars Petersson:
Transductive Zero-Shot Learning for 3D Point Cloud Classification. 912-922 - Min Wang, Baoyuan Liu, Hassan Foroosh:
Wide Hidden Expansion Layer for Deep Convolutional Neural Networks. 923-931 - Tobias Scheck, Roman Seidel, Gangolf Hirtz:
Learning from THEODORE: A Synthetic Omnidirectional Top-View Indoor Dataset for Deep Transfer Learning. 932-941 - Mohammad Farhadi, Yezhou Yang:
TKD: Temporal Knowledge Distillation for Active Perception. 942-951 - Alex Lamb, Sherjil Ozair, Vikas Verma, David Ha:
SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks. 952-961 - Steve Dias Da Cruz, Oliver Wasenmüller, Hans-Peter Beise, Thomas Stifter, Didier Stricker:
SVIRO: Synthetic Vehicle Interior Rear Seat Occupancy Dataset and Benchmark. 962-971 - Saurabh Desai, Harish G. Ramaswamy:
Ablation-CAM: Visual Explanations for Deep Convolutional Network via Gradient-free Localization. 972-980 - Yoav Chai, Raja Giryes, Lior Wolf:
Supervised and Unsupervised Learning of Parameterized Color Enhancement. 981-989 - Mingjie Wang, Hao Cai, Xin Huang, Minglun Gong:
ADNet: Adaptively Dense Convolutional Neural Networks. 990-999 - Shyamgopal Karthik, Abhinav Moudgil, Vineet Gandhi:
Exploring 3 R's of Long-term Tracking: Re-detection, Recovery and Reliability. 1000-1009 - Akshay Raj Dhamija, Manuel Günther, Jonathan Ventura, Terrance E. Boult:
The Overlooked Elephant of Object Detection: Open Set. 1010-1019 - David Hall, Feras Dayoub, John Skinner, Haoyang Zhang, Dimity Miller, Peter Corke, Gustavo Carneiro, Anelia Angelova, Niko Sünderhauf:
Probabilistic Object Detection: Definition and Evaluation. 1020-1029 - Chaoning Zhang, François Rameau, Junsik Kim, Dawit Mureja Argaw, Jean-Charles Bazin, In So Kweon:
DeepPTZ: Deep Self-Calibration for PTZ Cameras. 1030-1038 - Ziming Zhang, Wenchi Ma, Yuanwei Wu, Guanghui Wang:
Self-Orthogonality Module: A Network Architecture Plug-in for Learning Orthogonal Filters. 1044-1048 - Samuel Black, Somayeh Keshavarz, Richard Souvenir:
Evaluation of Image Inpainting for Classification and Retrieval. 1049-1058 - Christian Cosgrove, Alan L. Yuille:
Adversarial Examples for Edge Detection: They Exist, and They Transfer. 1059-1068 - Behnoosh Parsa, Athma Narayanan, Behzad Dariush:
Spatio-Temporal Pyramid Graph Convolutions for Human Action Recognition and Postural Assessment. 1069-1079 - Zhicheng Fang, Xiaoran Chen, Yuhua Chen, Luc Van Gool:
Towards Good Practice for CNN-Based Monocular Depth Estimation. 1080-1089 - Jonathan Schwan, Akshay Raj Dhamija, Terrance E. Boult:
I-MOVE: Independent Moving Objects for Velocity Estimation. 1090-1099 - Ahmed Ali, Ali Hassan, Afsheen Rafaqat Ali, Hussam Ullah Khan, Wajahat Kazmi, Aamer Zaheer:
Real-time vehicle distance estimation using single view geometry. 1100-1109 - Srinidhi Hegde, Jitender Maurya, Ramya Hebbalaguppe, Aniruddha Kalkar:
SmartOverlays: A Visual Saliency Driven Label Placement for Intelligent Human-Computer Interfaces. 1110-1119 - Junting Zhang, Jie Zhang, Shalini Ghosh, Dawei Li, Serafettin Tasci, Larry P. Heck, Heming Zhang, C.-C. Jay Kuo:
Class-incremental Learning via Deep Model Consolidation. 1120-1129 - Pravendra Singh, Munender Varshney, Vinay P. Namboodiri:
Cooperative Initialization based Deep Neural Network Training. 1130-1139 - Sirin Haddad, Siew-Kei Lam:
Self-Growing Spatial Graph Networks for Pedestrian Trajectory Prediction. 1140-1148 - Yaohui Wang, Piotr Bilinski, François Brémond, Antitza Dantcheva:
ImaGINator: Conditional Spatio-Temporal GAN for Video Generation. 1149-1158 - Zengming Shen, Yifan Chen, Thomas S. Huang, S. Kevin Zhou, Bogdan Georgescu, Xuqi Liu:
One-to-one Mapping for Unpaired Image-to-image Translation. 1159-1168 - Zhuo Chen, Jiyuan Zhang, Ruizhou Ding, Diana Marculescu:
ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object Detection. 1169-1178 - Zhipeng Ge, Fei Chen, Sidan Du, Yao Yu, Yu Zhou:
Learn a Global Appearance Semi-Supervisedly for Synthesizing Person Images. 1179-1188 - Shiv Surya, Amrith Setlur, Arijit Biswas, Sumit Negi:
ReStGAN: A step towards visually guided shopper experience via text-to-image synthesis. 1189-1197 - Dikshant Gupta, Aditya Anantharaman, Nehal Mamgain, Sowmya Kamath S., Vineeth N. Balasubramanian, C. V. Jawahar:
A Multi-Space Approach to Zero-Shot Object Detection. 1198-1206 - Mina Basirat, Peter M. Roth:
L*ReLU: Piece-wise Linear Activation Functions for Deep Fine-grained Visual Categorization. 1207-1216 - Yimu Wang, Ren-Jie Song, Xiu-Shen Wei, Lijun Zhang:
An Adversarial Domain Adaptation Network For Cross-Domain Fine-Grained Recognition. 1217-1225 - Ayyappa Kumar Pambala, Titir Dutta, Soma Biswas:
Generative Model with Semantic Embedding and Integrated Classifier for Generalized Zero-Shot Learning. 1226-1235 - Harald Hanselmann, Hermann Ney:
ELoPE: Fine-Grained Visual Classification with Efficient Localization, Pooling and Embedding. 1236-1245 - Xuehui Yu, Yuqi Gong, Nan Jiang, Qixiang Ye, Zhenjun Han:
Scale Match for Tiny Person Detection. 1246-1254 - Eden Belouadah, Adrian Popescu:
ScaIL: Classifier Weights Scaling for Class Incremental Learning. 1255-1264 - Hendrik J. Weideman, Charles V. Stewart, Jason Remington Parham, Jason Holmberg, Kiirsten Flynn, John Calambokidis, D. Barry Paul, Anka Bedetti, Michelle Henley, Jerenimo Lepirei, Frank G. Pope:
Extracting identifying contours for African elephants and humpback whales using a learned appearance model. 1265-1274 - Yuanyi Zhong, Jianfeng Wang, Jian Peng, Lei Zhang:
Anchor Box Optimization for Object Detection. 1275-1283 - Zheng Li, Xiaocong Du, Yu Cao:
GAR: Graph Assisted Reasoning for Object Detection. 1284-1293 - Zeyi Huang, Wei Ke, Dong Huang:
Improving Object Detection with Inverted Attention. 1294-1302 - Bhuvan Malladihalli Shashidhara, Mitchell Scott, Aaron Marburg:
Instance Segmentation of Benthic Scale Worms at a Hydrothermal Site. 1303-1312 - Youngsun Pan, Andy J. Ma, Yuan Gao, Jinpeng Wang, Yiqi Lin:
Multi-Scale Adversarial Cross-Domain Detection with Robust Discriminative Learning. 1313-1321 - Adam Kortylewski, Qing Liu, Huiyu Wang, Zhishuai Zhang, Alan L. Yuille:
Combining Compositional Models and Deep Networks For Robust Object Classification under Occlusion. 1322-1330 - Mariano Rodríguez, Gabriele Facciolo, Rafael Grompone von Gioi, Pablo Musé, Julie Delon:
Robust estimation of local affine maps and its applications to image matching. 1331-1340 - Donghyun Kim, Sarah Adel Bargal, Jianming Zhang, Stan Sclaroff:
Multi-way Encoding for Robustness. 1341-1349 - Zhishuai Zhang, Wei Shen, Siyuan Qiao, Yan Wang, Bo Wang, Alan L. Yuille:
Robust Face Detection via Learning Small Faces on Hard Images. 1350-1359 - Björn Barz, Joachim Denzler:
Deep Learning on Small Datasets without Pre-Training using Cosine Loss. 1360-1369 - Devraj Mandal, Shrisha Bharadwaj, Soma Biswas:
A Novel Self-Supervised Re-labeling Approach for Training with Noisy Labels. 1370-1379 - Jinguo Zhu, Zejian Yuan, Chong Zhang, Wanchao Chi, Yonggen Ling, Shenghao Zhang:
Crowded Human Detection via an Anchor-pair Network. 1380-1388 - Supritam Bhattacharjee, Devraj Mandal, Soma Biswas:
Multi-class Novelty Detection Using Mix-up Technique. 1389-1398 - Yusuke Hosoya, Masanori Suganuma, Takayuki Okatani:
Analysis and a Solution of Momentarily Missed Detection for Anchor-based Object Detectors. 1399-1407 - Alex Levinshtein, Alborz Rezazadeh Sereshkeh, Konstantinos G. Derpanis:
DATNet: Dense Auxiliary Tasks for Object Detection. 1408-1416 - Umang Aggarwal, Adrian Popescu, Céline Hudelot:
Active Learning for Imbalanced Datasets. 1417-1426 - Abhineet Singh, Marcin Pietrasik, Gabriell Natha, Nehla Ghouaiel, Ken Brizel, Nilanjan Ray:
Animal Detection in Man-made Environments. 1427-1438 - Fangda Han, Ricardo Guerrero, Vladimir Pavlovic:
CookGAN: Meal Image Synthesis from Ingredients. 1439-1447 - Dongxu Li, Cristian Rodriguez Opazo, Xin Yu, Hongdong Li:
Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison. 1448-1458 - Raul Gomez, Jaume Gibert, Lluís Gómez, Dimosthenis Karatzas:
Exploring Hate Speech Detection in Multimodal Publications. 1459-1467 - Ravindra Yadav, Ashish Sardana, Vinay P. Namboodiri, Rajesh M. Hegde:
Bridged Variational Autoencoders for Joint Modeling of Images and Attributes. 1468-1476 - Moshiko Raboh, Roei Herzig, Jonathan Berant, Gal Chechik, Amir Globerson:
Differentiable Scene Graphs. 1477-1486 - Kushal Kafle, Robik Shrestha, Brian L. Price, Scott Cohen, Christopher Kanan:
Answering Questions about Data Visualizations using Efficient Bimodal Fusion. 1487-1496 - Sijin Wang, Ruiping Wang, Ziwei Yao, Shiguang Shan, Xilin Chen:
Cross-modal Scene Graph Matching for Relationship-aware Image-Text Retrieval. 1497-1506 - Geondo Park, Chihye Han, Daeshik Kim, Wonjun Yoon:
MHSAN: Multi-Head Self-Attention Network for Visual Semantic Embedding. 1507-1515 - Nitesh Methani, Pritha Ganguly, Mitesh M. Khapra, Pratyush Kumar:
PlotQA: Reasoning over Scientific Plots. 1516-1525 - Charles Chen, Ruiyi Zhang, Eunyee Koh, Sungchul Kim, Scott Cohen, Ryan A. Rossi:
Figure Captioning with Relation Maps for Reasoning. 1526-1534 - Deying Kong, Haoyu Ma, Yifei Chen, Xiaohui Xie:
Rotation-invariant Mixed Graphical Model Network for 2D Hand Pose Estimation. 1535-1544 - Zekun Yang, Noa Garcia, Chenhui Chu, Mayu Otani, Yuta Nakashima, Haruo Takemura:
BERT Representations for Video Question Answering. 1545-1554 - Badri N. Patro, Vinod K. Kurmi, Sandeep Kumar, Vinay P. Namboodiri:
Deep Bayesian Network for Visual Question Generation. 1555-1565 - Badri N. Patro, Shivansh Patel, Vinay P. Namboodiri:
Robust Explanations for Visual Question Answering. 1566-1575 - Hemalatha Munusamy, C. Chandra Sekhar:
Domain-Specific Semantics Guided Approach to Video Captioning. 1576-1585 - Steven Schwarcz, Alexander N. Gorban, Xavier Gibert Serra, Dar-Shyang Lee:
Adapting Style and Content for Attended Text Sequence Recognition. 1586-1595 - Shih-Han Chou, Wei-Lun Chao, Wei-Sheng Lai, Min Sun, Ming-Hsuan Yang:
Visual Question Answering on 360° Images. 1596-1605 - Anoop Cherian, Jue Wang, Chiori Hori, Tim K. Marks:
Spatio-Temporal Ranked-Attention Networks for Video Captioning. 1606-1615 - Rajat Saini, Nandan Kumar Jha, Bedanta Das, Sparsh Mittal, C. Krishna Mohan:
ULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural Networks. 1616-1625 - Bo Xu, Jacob Wang, Cheng Lu, Yandong Guo:
Watch to Listen Clearly: Visual Speech Enhancement Driven Multi-modality Speech Recognition. 1626-1635 - Brent A. Griffin, Victoria Florence, Jason J. Corso:
Video Object Segmentation-based Visual Servo Control and Object Depth Estimation on a Mobile Robot. 1636-1646 - Hochang Seok, Jongwoo Lim:
Robust Feature Tracking in DVS Event Stream using Bézier Mapping. 1647-1656 - Phil Ammirato, Jonathan Tremblay, Ming-Yu Liu, Alexander C. Berg, Dieter Fox:
SymGAN: Orientation Estimation without Annotation for Symmetric Objects. 1657-1666 - Vignesh Ramanathan, Pritesh Dwivedi, Bharath Katabathuni, Anirban Chakraborty, Chetan Singh Thakur:
QUICKSAL: A small and sparse visual saliency model for efficient inference in resource constrained hardware. 1667-1677 - Kaustubh Mani, Swapnil Daga, Shubhika Garg, Narasimhan Sai Shankar, J. Krishna Murthy, K. Madhava Krishna:
Mono Lay out: Amodal scene layout from a single image. 1678-1686 - Xiaoke Shen, Ioannis Stamos:
Frustum VoxNet for 3D object detection from RGB-D or Depth images. 1687-1695 - Wenfeng Song, Shuai Li, Tao Chang, Aimin Hao, Qinping Zhao, Hong Qin:
Cross-View Contextual Relation Transferred Network for Unsupervised Vehicle Tracking in Drone Videos. 1696-1705 - Jinwoo Choi, Gaurav Sharma, Manmohan Chandraker, Jia-Bin Huang:
Unsupervised and Semi-Supervised Domain Adaptation for Action Recognition from Drones. 1706-1715 - Amélie Royer, Christoph H. Lampert:
Localizing Grouped Instances for Efficient Detection in Low-Resource Scenarios. 1716-1725 - Biswas Parajuli, Ahana Roy Choudhury, Piyush Kumar:
Reconstructing Road Network Graphs from both Aerial Lidar and Images. 1726-1735 - Elizabeth Bondi, Raghav Jain, Palash Aggrawal, Saket Anand, Robert Hannaford, Ashish Kapoor, Jim Piavis, Shital Shah, Lucas Joppa, Bistra Dilkina, Milind Tambe:
BIRDSAI: A Dataset for Detection and Tracking in Aerial Thermal Infrared Videos. 1736-1745 - Moritz Venator, Fengyi Shen, Selcuk Aklanoglu, Erich Bruns, Klaus-Jürgen Diepold, Andreas K. Maier:
Dual-Mode Training with Style Control and Quality Enhancement for Road Image Domain Adaptation. 1746-1755 - Ye Xia, Jinkyu Kim, John F. Canny, Karl Zipser, Teresa Canas-Bajo, David Whitney:
Periphery-Fovea Multi-Resolution Driving Model Guided by Human Attention. 1756-1764 - Satish Kumar, Carlos Torres, Oytun Ulutan, Alana K. Ayasse, Dar A. Roberts, B. S. Manjunath:
Deep Remote Sensing Methods for Methane Detection in Overhead Hyperspectral Imagery. 1765-1774 - Adam Van Etten:
City-Scale Road Extraction from Satellite Imagery v2: Road Speeds and Travel Times. 1775-1784 - Vishnu Sarukkai, Anirudh Jain, Burak Uzkent, Stefano Ermon:
Cloud Removal in Satellite Images Using Spatiotemporal Generative Networks. 1785-1794 - Binghui Huang, Zhi Li, Chao Yang, Fuchun Sun, Yixu Song:
Single Satellite Optical Imagery Dehazing using SAR Image Prior Based on conditional Generative Adversarial Networks. 1795-1802 - Fanjie Kong, Bohao Huang, Kyle Bradbury, Jordan M. Malof:
The Synthinel-1 dataset: a collection of high resolution synthetic overhead imagery for building segmentation. 1803-1812 - Burak Uzkent, Christopher Yeh, Stefano Ermon:
Efficient Object Detection in Large Images Using Deep Reinforcement Learning. 1813-1822 - Hussam Ullah Khan, Afsheen Rafaqat Ali, Ali Hassan, Ahmed Ali, Wajahat Kazmi, Aamer Zaheer:
Lane detection using lane boundary marker network with road geometry constraints. 1823-1832 - Elad Richardson, Yaniv Azar, Or Avioz, Niv Geron, Tomer Ronen, Zach Avraham, Stav Shapiro:
It's All About The Scale - Efficient Text Detection Using Adaptive Scaling. 1833-1842 - Sinisa Stekovic, Friedrich Fraundorfer, Vincent Lepetit:
Casting Geometric Constraints in Semantic Segmentation as Semi-Supervised Learning. 1843-1852 - Javed Iqbal, Mohsen Ali:
MLSL: Multi-Level Self-Supervised Learning for Domain Adaptation with Spatially Independent and Semantically Consistent Labeling. 1853-1862 - Georg Krispel, Michael Opitz, Georg Waltner, Horst Possegger, Horst Bischof:
FuseSeg: LiDAR Point Cloud Segmentation Fusing Multi-Modal Data. 1863-1872 - Muhammad Faisal, Ijaz Akhter, Mohsen Ali, Richard I. Hartley:
EpO-Net: Exploiting Geometric Constraints on Dense Trajectories for Motion Saliency. 1873-1882 - Jianlong Yuan, Zelu Deng, Shu Wang, Zhenbo Luo:
Multi Receptive Field Network for Semantic Segmentation. 1883-1892 - Ping Hu, Jun Liu, Gang Wang, Vitaly Ablavsky, Kate Saenko, Stan Sclaroff:
DIPNet: Dynamic Identity Propagation Network for Video Object Segmentation. 1893-1902 - Filip Ilic, Axel Pinz:
Representing Objects in Video as Space-Time Volumes by Combining Top-Down and Bottom-Up Processes. 1903-1911 - Xavier Soria, Edgar Riba, Ángel D. Sappa:
Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection. 1912-1921 - Raghav Brahmadesam Venkataramaiyer, Subham Kumar, Vinay P. Namboodiri:
Can I teach a robot to replicate a line art. 1922-1930 - Yuan Yao, Hyun Soo Park:
Multiview Co-segmentation for Wide Baseline Images using Cross-view Supervision. 1931-1940 - Bingnan Luo, Jie Shen, Shiyang Cheng, Yujiang Wang, Maja Pantic:
Shape Constrained Network for Eye Segmentation in the Wild. 1941-1949 - Shuaihang Yuan, Yi Fang:
ROSS: Robust Learning of One-Shot 3D Shape Segmentation. 1950-1958 - Vladimir Nekrasov, Hao Chen, Chunhua Shen, Ian D. Reid:
Architecture Search of Dynamic Cells for Semantic Video Segmentation. 1959-1968 - Vladimir Nekrasov, Chunhua Shen, Ian D. Reid:
Template-Based Automatic Search of Compact Semantic Segmentation Architectures. 1969-1978 - Gagan Kanojia, Shanmuganathan Raman:
Simultaneous Detection and Removal of Dynamic Objects in Multi-view Images. 1979-1988 - Jonathon Luiten, Idil Esen Zulfikar, Bastian Leibe:
UnOVOST: Unsupervised Offline Video Object Segmentation and Tracking. 1989-1998 - David Golub, Ahmed El-Kishky, Roberto Martín-Martín:
Leveraging Pretrained Image Classifiers for Language-Based Segmentation. 1999-2008 - Kashyap Chitta, José M. Álvarez, Martial Hebert:
Quadtree Generating Networks: Efficient Hierarchical Scene Parsing with Sparse Convolutions. 2009-2018 - Shichao Xu, Shuyue Lan, Qi Zhu:
MaskPlus: Improving Mask Generation for Instance Segmentation. 2019-2027 - Mohsen Kheirandishfard, Fariba Zohrizadeh, Farhad Kamangar:
Multi-Level Representation Learning for Deep Subspace Clustering. 2028-2037 - Jogendra Nath Kundu, Gaurav Singh Rajput, R. Venkatesh Babu:
VRT-Net: Real-Time Scene Parsing via Variable Resolution Transform. 2038-2045 - Youngeun Kim, Seokeon Choi, Hankyeol Lee, Taekyung Kim, Changick Kim:
RPM-Net: Robust Pixel-Level Matching Networks for Self-Supervised Video Object Segmentation. 2046-2054 - Hyojin Park, Lars Lowe Sjösund, Young Joon Yoo, Nicolas Monet, Jihwan Bang, Nojun Kwak:
SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking Decoder. 2055-2063 - Milan Aggarwal, Mausoom Sarkar, Hiresh Gupta, Balaji Krishnamurthy:
Multi-Modal Association based Grouping for Form Structure Extraction. 2064-2073 - Lingyu Zhang, Indrani Bhattacharya, Mallory Morgan, Michael Foley, Christoph Riedl, Brooke Foucault Welles, Richard J. Radke:
Multiparty Visual Co-Occurrences for Estimating Personality Traits in Group Meetings. 2074-2083 - Nemanja Djuric, Vladan Radosavljevic, Henggang Cui, Thi Nguyen, Fang-Chieh Chou, Tsung-Han Lin, Nitin Singh, Jeff Schneider:
Uncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving. 2084-2093 - Peter Thompson, Willie Brink:
Image identification of Protea species with attributes and subgenus scaling. 2094-2102 - Lydia Gauerhof, Nianlong Gu:
Reverse Variational Autoencoder for Visual Attribute Manipulation and Anomaly Detection. 2103-2112 - Jun Nagata, Yusuke Sekikawa, Kosuke Hara, Teppei Suzuki, Yoshimitsu Aoki:
QR-code Reconstruction from Event Data via Optimization in Code Subspace. 2113-2121 - Vijay Kumar, Anoop M. Namboodiri, C. V. Jawahar:
Region Pooling with Adaptive Feature Fusion for End-to-End Person Recognition. 2122-2131 - Samya Bagchi, Tat-Jun Chin:
Event-based Star Tracking via Multiresolution Progressive Hough Transforms. 2132-2141 - Pongsate Tangseng, Takayuki Okatani:
Toward Explainable Fashion Recommendation. 2142-2151 - Hung-Yu Chen, I-Sheng Fang, Chia-Ming Cheng, Wei-Chen Chiu:
Self-Contained Stylization via Steganography for Reverse and Serial Style Transfer. 2152-2160 - Daiki Kimura, Subhajit Chaudhury, Minori Narita, Asim Munawar, Ryuki Tachibana:
Adversarial Discriminative Attention for Robust Anomaly Detection. 2161-2170 - Surgan Jandial, Ayush Chopra, Kumar Ayush, Mayur Hemani, Abhijeet Kumar, Balaji Krishnamurthy:
SieveNet: A Unified Framework for Robust Image-Based Virtual Try-On. 2171-2179 - Amélie Royer, Christoph H. Lampert:
A Flexible Selection Scheme for Minimum-Effort Transfer Learning. 2180-2189 - Ziqiao Guan, Kevin G. Yager, Dantong Yu, Hong Qin:
Multi-Label Visual Feature Learning with Attentional Aggregation. 2190-2198 - Viktor Wegmayr, Aytunc Sahin, Björn Sæmundsson, Joachim M. Buhmann:
Instance Segmentation for the Quantification of Microplastic Fiber Images. 2199-2206 - Puneet Mangla, Mayank Singh, Abhishek Sinha, Nupur Kumari, Vineeth N. Balasubramanian, Balaji Krishnamurthy:
Charting the Right Manifold: Manifold Mixup for Few-shot Learning. 2207-2216 - Peng Sun, Rui Hou, Jerome P. Lynch:
Measuring the Utilization of Public Open Spaces by Deep Learning: a Benchmark Study at the Detroit Riverfront. 2217-2226 - Jan Zdenek, Hideki Nakayama:
Erasing Scene Text with Weak Supervision. 2227-2235 - Shreyansh Gandhi, Samrat Kokkula, Abon Chaudhuri, Alessandro Magnani, Theban Stanley, Behzad Ahmadi, Venkatesh Kandaswamy, Omer Ovenc, Shie Mannor:
Scalable Detection of Offensive and Non-compliant Content / Logo in Product Images. 2236-2245 - Yan Chen, Jimmy S. J. Ren, Xuanye Cheng, Keyuan Qian, Luyang Wang, Jinwei Gu:
Very Power Efficient Neural Time-of-Flight. 2246-2255 - Amena Khatun, Simon Denman, Sridha Sridharan, Clinton Fookes:
Semantic Consistency and Identity Mapping Multi-Component Generative Adversarial Network for Person Re-Identification. 2256-2265 - Oyebade K. Oyedotun, Djamila Aouada, Björn E. Ottersten:
Structured Compression of Deep Neural Networks with Debiased Elastic Group LASSO. 2266-2275 - Usman Sajid, Guanghui Wang:
Plug-and-Play Rescaling Based Crowd Counting in Static Images. 2276-2285 - Mohamed Chaabane, Ameni Trabelsi, Nathaniel Blanchard, J. Ross Beveridge:
Looking Ahead: Anticipating Pedestrians Crossing with Future Frames Prediction. 2286-2295 - Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz:
Post-Mortem Iris Recognition Resistant to Biological Eye Decay Processes. 2296-2304 - Milan Sulc, Lukás Picek, Jiri Matas, Thomas S. Jeppesen, Jacob Heilmann-Clausen:
Fungi Recognition: A Practical Use Case. 2305-2313 - Shubham Dash, Giridharan Kumaravelu, Vijayakrishna Naganoor, Suraj Kiran Raman, Aditya Ramesh, Honglak Lee:
CompressNet: Generative Compression at Extremely Low Bitrates. 2314-2322 - Lirong Wu, Kejie Huang, Haibin Shen:
A GAN-based Tunable Image Compression System. 2323-2331 - Vikram Singh, Keerthan Ramnath, Subrahmanyam Arunachalam, Anurag Mittal:
Going Much Wider with Deep Networks for Image Super-Resolution. 2332-2343 - Prasen Kumar, Sharma Priyankar, Jain Arijit Sur:
Scale-aware Conditional Generative Adversarial Network for Image Dehazing. 2344-2354 - Indra Deep Mastan, Shanmuganathan Raman:
DCIL: Deep Contextual Internal Learning for Image Restoration and Image Retargeting. 2355-2364 - Junru Wu, Xiang Yu, Ding Liu, Manmohan Chandraker, Zhangyang Wang:
DAVID: Dual-Attentional Video Deblurring. 2365-2374 - Julius Surya Sumantri, In Kyu Park:
360 Panorama Synthesis from a Sparse Set of Images with Unknown Field of View. 2375-2384 - Yifan Wu, Vivek K. Singh, Ankur Kapoor:
From Image to Video Face Inpainting: Spatial-Temporal Nested GAN (STN-GAN) for Usability Recovery. 2385-2394 - Ying-Jun Du, Jun Xu, Qiang Qiu, Xiantong Zhen, Lei Zhang:
Variational Image Deraining. 2395-2404 - Xiaohong Liu, Lingshi Kong, Yang Zhou, Jiying Zhao, Jun Chen:
End-To-End Trainable Video Super-Resolution Based on a New Mechanism for Implicit Motion Estimation and Compensation. 2405-2414 - Zhihao Xia, Ayan Chakrabarti:
Identifying Recurring Patterns with Deep Neural Networks for Natural Image Denoising. 2415-2423 - Zhiyi Cheng, Xiatian Zhu, Shaogang Gong:
Characteristic Regularisation for Super-Resolving Face Images. 2424-2433 - Patricia Vitoria, Lara Raad, Coloma Ballester:
ChromaGAN: Adversarial Picture Colorization with Semantic Class Distribution. 2434-2443 - Quan Xiao, Canhong Wen, Zirui Yan:
Image denoising via K-SVD with primal-dual active set algorithm. 2444-2452 - Cristian Rodriguez Opazo, Edison Marrese-Taylor, Fatemeh Sadat Saleh, Hongdong Li, Stephen Gould:
Proposal-free Temporal Moment Localization of a Natural-Language Query in Video using Guided Attention. 2453-2462 - Hong Xuan, Abby Stylianou, Robert Pless:
Improved Embeddings with Easy Positive Triplet Mining. 2463-2471 - Hao Chen, Benoit Lagadec, François Brémond:
Learning Discriminative and Generalizable Representations by Spatial-Channel Partition for Person Re-Identification. 2472-2481 - Ruikui Wang, Ruiping Wang, Shishi Qiao, Shiguang Shan, Xilin Chen:
Deep Position-Aware Hashing for Semantic Continuous Image Retrieval. 2482-2491 - Jin Ma, Shanmin Pang, Bo Yang, Jihua Zhu, Yaochen Li:
Spatial-Content Image Search in Complex Scenes. 2492-2500 - Yuxin Tian, Xueqing Deng, Yi Zhu, Shawn D. Newsam:
Cross-Time and Orientation-Invariant Overhead Image Geolocalization Using Deep Local Features. 2501-2509 - Zakaria Laskar, Iaroslav Melekhov, Hamed R. Tavakoli, Juha Ylioinas:
Geometric Image Correspondence Verification by Dense Pixel Matching. 2510-2519 - Weixiang Hong, Yu-Ting Chang, Haifang Qin, Wei-Chih Hung, Yi-Hsuan Tsai, Ming-Hsuan Yang:
Image Hashing via Linear Discriminant Learning. 2520-2528 - Anubha Pandey, Ashish Mishra, Vinay Kumar Verma, Anurag Mittal, Hema A. Murthy:
Stacked Adversarial Network for Zero-Shot Sketch based Image Retrieval. 2529-2538 - Xiaotong Liu, Zeyu Zhang, Roxana Leontie, Abby Stylianou, Robert Pless:
2-MAP: Aligned Visualizations for Comparison of High-Dimensional Point Sets. 2539-2547 - Mai Lan Ha, Vlad Hosu, Volker Blanz:
Color Composition Similarity and Its Application in Fine-grained Similarity. 2548-2557 - Bharathkumar Ramachandra, Michael J. Jones:
Street Scene: A new dataset and evaluation protocol for video anomaly detection. 2558-2567 - Yan Xu, Vivek Roy, Kris Kitani:
Estimating 3D Camera Pose from 2D Pedestrian Trajectories. 2568-2577 - Prabhat Kumar, Mayank Vatsa, Richa Singh:
Detecting Face2Face Facial Reenactment in Videos. 2578-2586 - Bharathkumar Ramachandra, Michael J. Jones, Ranga Raju Vatsavai:
Learning a distance function with a Siamese network to localize anomalies in videos. 2587-2596 - Si-Qi Liu, Xiangyuan Lan, Pong C. Yuen:
Temporal Similarity Analysis of Remote Photoplethysmography for Fast 3D Mask Face Presentation Attack Detection. 2597-2605 - Surbhi Aggarwal, R. Venkatesh Babu, Anirban Chakraborty:
Text-based Person Search via Attribute-aided Matching. 2606-2614 - Royston Rodrigues, Neha Bhargava, Rajbabu Velmurugan, Subhasis Chaudhuri:
Multi-timescale Trajectory Prediction for Abnormal Human Activity Detection. 2615-2623 - Shivangi Yadav, Cunjian Chen, Arun Ross:
Relativistic Discriminator: A One-Class Classifier for Generalized Iris Presentation Attack Detection. 2624-2633 - Devinder Kumar, Parthipan Siva, Paul Marchwica, Alexander Wong:
Unsupervised Domain Adaptation in Person re-ID via k-Reciprocal Clustering and Large-Scale Heterogeneous Environment Synthesis. 2634-2643 - Neeraj Matiyali, Gaurav Sharma:
Video Person Re-Identification using Learned Clip Similarity Aggregation. 2644-2653 - Ali Dabouei, Sobhan Soleymani, Fariborz Taherkhani, Jeremy M. Dawson, Nasser M. Nasrabadi:
SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations. 2654-2663 - Amran Bhuiyan, Yang Liu, Parthipan Siva, Mehrsan Javan, Ismail Ben Ayed, Eric Granger:
Pose Guided Gated Fusion for Person Re-identification. 2664-2673 - Ha A. Le, Christos Smailis, Lei Shi, Ioannis A. Kakadiaris:
EDGE20: A Cross Spectral Evaluation Dataset for Multiple Surveillance Problems. 2674-2683 - B. V. S. Anusha, Sayan Banerjee, Subhasis Chaudhuri:
DeFraudNet: End2End Fingerprint Spoof Detection using Patch Level Attention. 2684-2693 - Yao Lu, Jack Valmadre, Heng Wang, Juho Kannala, Mehrtash Harandi, Philip H. S. Torr:
Devon: Deformable Volume Network for Learning Optical Flow. 2694-2702 - Qiangeng Xu, Hanwang Zhang, Weiyue Wang, Peter N. Belhumeur, Ulrich Neumann:
Stochastic Dynamics for Video Infilling. 2703-2712 - Jogendra Nath Kundu, Himanshu Buckchash, Priyanka Mandikal, Rahul M. V., Anirudh Jamkhandi, Venkatesh Babu R.:
Cross-Conditioned Recurrent Networks for Long-Term Synthesis of Inter-Person Human Motion Interactions. 2713-2722 - Murari Mandal, Lav Kush Kumar, Mahipal Singh Saran, Santosh Kumar Vipparthi:
MotionRec: A Unified Deep Framework for Moving Object Recognition. 2723-2732 - Ximeng Sun, Huijuan Xu, Kate Saenko:
TwoStreamVAN: Improving Motion Modeling in Video Generation. 2733-2742 - Matthias Innmann, Kihwan Kim, Jinwei Gu, Matthias Nießner, Charles T. Loop, Marc Stamminger, Jan Kautz:
NRMVS: Non-Rigid Multi-View Stereo. 2743-2752 - Gaurav Singh, Meiqing Wu, Siew-Kei Lam:
Fusing Semantics and Motion State Detection for Robust Visual SLAM. 2753-2762 - Mustafa Ozan Tezcan, Prakash Ishwar, Janusz Konrad:
BSUV-Net: A Fully-Convolutional Neural Network for Background Subtraction of Unseen Videos. 2763-2772 - Karttikeya Mangalam, Ehsan Adeli, Kuan-Hui Lee, Adrien Gaidon, Juan Carlos Niebles:
Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision. 2773-2782 - Lei Chen, Jianhui Chen, Hossein Hajimirsadeghi, Greg Mori:
Adapting Grad-CAM for Embedding Networks. 2783-2792 - Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin, Mohammad Sadegh Aliakbarian, Antonio Robles-Kelly:
Super-resolved Chromatic Mapping of Snapshot Mosaic Image Sensors via a Texture Sensitive Residual Network. 2793-2802 - Mahesh Kumar Krishna Reddy, Mohammad Asiful Hossain, Mrigank Rochan, Yang Wang:
Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning. 2803-2812 - Wei Chen, Jinming Duan, Hector Basevi, Hyung Jin Chang, Ales Leonardis:
PointPoseNet: Point Pose Network for Robust 6D Object Pose Estimation. 2813-2822 - Davis Rempe, Srinath Sridhar, He Wang, Leonidas J. Guibas:
Predicting the Physical Dynamics of Unseen 3D Objects. 2823-2832 - Rezaul Karim, Md. Amirul Islam, Neil D. B. Bruce:
Distributed Iterative Gating Networks for Semantic Segmentation. 2833-2842 - Andrés F. Pérez, Valentina Sanguineti, Pietro Morerio, Vittorio Murino:
Audio-Visual Model Distillation Using Acoustic Images. 2843-2852 - Deepak Babu Sam, Skand Vishwanath Peri, Mukuntha N. S., R. Venkatesh Babu:
Going Beyond the Regression Paradigm with Accurate Dot Prediction for Dense Crowds. 2853-2861 - Matthieu Paul, Christoph Mayer, Luc Van Gool, Radu Timofte:
Efficient Video Semantic Segmentation with Labels Propagation and Refinement. 2862-2871 - Michal Koperski, Tomasz K. Konopczynski, Rafal Nowak, Piotr Semberecki, Tomasz Trzcinski:
Plugin Networks for Inference under Partial Evidence. 2872-2880 - Sanaa Chafik, Astrid Orcesi, Romaric Audigier, Bertrand Luvison:
Classifying All Interacting Pairs in a Single Shot. 2881-2890 - Harshitha Machiraju, Vineeth N. Balasubramanian:
A Little Fog for a Large Turn. 2891-2900 - Martin Hirzer, Peter M. Roth, Vincent Lepetit:
Smart Hypothesis Generation for Efficient and Robust Room Layout Estimation. 2901-2909 - Xin Guo, Luisa F. Polanía, Bin Zhu, Charles Boncelet, Kenneth E. Barner:
Graph Neural Networks for Image Understanding Based on Multiple Cues: Group Emotion Recognition and Event Recognition as Use Cases. 2910-2919 - Yanni Ma, Yulan Guo, Hao Liu, Yinjie Lei, Gongjian Wen:
Global Context Reasoning for Semantic Segmentation of 3D Point Clouds. 2920-2929 - Seunghan Yang, Yoonhyung Kim, Youngeun Kim, Changick Kim:
Combinational Class Activation Maps for Weakly Supervised Object Localization. 2930-2938 - Andrés Mafla, Sounak Dey, Ali Furkan Biten, Lluís Gómez, Dimosthenis Karatzas:
Fine-grained Image Classification and Retrieval by Combining Visual and Locally Pooled Textual Features. 2939-2948 - Bhavan Vasu, Chengjiang Long:
Iterative and Adaptive Sampling with Spatial Attention for Black-Box Model Explanations. 2949-2958 - Janani Ramaswamy, Sukhendu Das:
See the Sound, Hear the Pixels. 2959-2968 - François Plesse, Alexandru-Lucian Gînsca, Bertrand Delezoide, Françoise J. Prêteux:
Focusing Visual Relation Detection on Relevant Relations with Prior Potentials. 2969-2978 - Fabio Pizzati, Raoul de Charette, Michela Zaccaria, Pietro Cerri:
Domain Bridge for Unpaired Image-to-Image Translation and Unsupervised Domain Adaptation. 2979-2987 - Shyam Nandan Rai, Vineeth N. Balasubramanian, Anbumani Subramanian, C. V. Jawahar:
Munich to Dubai: How far is it for Semantic Segmentationƒ. 2988-2997 - Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai:
A "Network Pruning Network" Approach to Deep Model Compression. 2998-3007 - Junnan Li, Ziwei Xu, Yongkang Wang, Qi Zhao, Mohan S. Kankanhalli:
GradMix: Multi-source Transfer across Domains and Tasks. 3008-3016 - Yatin Dandi, Aniket Das, Soumye Singhal, Vinay P. Namboodiri, Piyush Rai:
Jointly Trained Image and Video Generation using Residual Vectors. 3017-3031 - Omry Sendik, Dani Lischinski, Daniel Cohen-Or:
CrossNet: Latent Cross-Consistency for Unpaired Image Translation. 3032-3040 - Masato Ishii, Takashi Takenouchi, Masashi Sugiyama:
Partially Zero-shot Domain Adaptation from Incomplete Target Data with Missing Classes. 3041-3049 - Gonçalo Mordido, Haojin Yang, Christoph Meinel:
microbatchGAN: Stimulating Diversity with Multi-Adversarial Discrimination. 3050-3059 - Christoph Mayer, Radu Timofte:
Adversarial Sampling for Active Learning. 3060-3068 - Yunhan Zhao, Ye Tian, Charless C. Fowlkes, Wei Shen, Alan L. Yuille:
Resisting Large Data Variations via Introspective Transformation Network. 3069-3078 - Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro:
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference. 3079-3089 - Varun Khare, Divyat Mahajan, Homanga Bharadhwaj, Vinay Kumar Verma, Piyush Rai:
A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation. 3090-3099 - Maria-Ximena Bastidas-Rodríguez, Adrien Gruson, Luisa F. Polanía, Shin Fujieda, Flavio Augusto Prieto Ortíz, Kohei Takayama, Toshiya Hachisuka:
Deep Adaptive Wavelet Network. 3100-3108 - Ari Heljakka, Arno Solin, Juho Kannala:
Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders. 3109-3118 - Pietro Morerio, Riccardo Volpi, Ruggero Ragonesi, Vittorio Murino:
Generative Pseudo-label Refinement for Unsupervised Domain Adaptation. 3119-3128 - Xavier Suau, Luca Zappella, Nicholas Apostoloff:
Filter Distillation for Network Compression. 3129-3138 - Len Du:
How Much Deep Learning does Neural Style Transfer Really Need? An Ablation Study. 3139-3148 - Mao-Chuang Yeh, Shuai Tang, Anand Bhattad, Chuhang Zou, David A. Forsyth:
Improving Style Transfer with Calibrated Metrics. 3149-3157 - Yan Han, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi:
Learning from Noisy Labels via Discrepant Collaborative Training. 3158-3167 - Alireza Rahimpour, Hairong Qi:
Class-Discriminative Feature Embedding For Meta-Learning based Few-Shot Classification. 3168-3176 - Alex Gain, Prakhar Kaushik, Hava T. Siegelmann:
Adaptive Neural Connections for Sparsity Learning. 3177-3182 - Rui Huang, Wenju Xu, Teng-Yok Lee, Anoop Cherian, Ye Wang, Tim K. Marks:
FX-GAN: Self-Supervised GAN Learning via Feature Exchange. 3183-3191 - Moritz Kampelmühler, Axel Pinz:
Synthesizing human-like sketches from natural images using a conditional convolutional decoder. 3192-3200 - Jian Ren, Xiaohui Shen, Zhe Lin, Radomír Mech:
Best Frame Selection in a Short Video. 3201-3210 - Wei Gao, Yijun Li, Yihang Yin, Ming-Hsuan Yang:
Fast Video Multi-Style Transfer. 3211-3219 - Trung-Nghia Le, Akihiro Sugimoto, Shintaro Ono, Hiroshi Kawasaki:
Toward Interactive Self-Annotation For Video Object Bounding Box: Recurrent Self-Learning And Hierarchical Annotation Based Framework. 3220-3229 - Lele Chen, Justin Tian, Guo Li, Cheng-Haw Wu, Erh-Kan King, Kuan-Ting Chen, Shao-Hang Hsieh, Chenliang Xu:
TailorGAN: Making User-Defined Fashion Designs. 3230-3239 - Kranti Kumar Parida, Neeraj Matiyali, Tanaya Guha, Gaurav Sharma:
Coordinated Joint Multimodal Embeddings for Generalized Audio-Visual Zero-shot Classification and Retrieval of Videos. 3240-3249 - Titir Dutta, Soma Biswas:
s-SBIR: Style Augmented Sketch based Image Retrieval. 3250-3259 - Washington L. S. Ramos, Michel Melo Silva, Edson R. Araujo, Alan C. Neves, Erickson R. Nascimento:
Personalizing Fast-Forward Videos Based on Visual and Textual Features from Social Network. 3260-3269 - Siddhartha Gairola, Rajvi Shah, P. J. Narayanan:
Unsupervised Image Style Embeddings for Retrieval and Recognition Tasks. 3270-3278 - Gaurav Mittal, Baoyuan Wang:
Animating Face using Disentangled Audio Representations. 3279-3287 - Vikram Singh, Akshay Sharma, Sudharshann Devanathan, Anurag Mittal:
High-Frequency Refinement for Sharper Video Super-Resolution. 3288-3297 - Jianren Wang, Zhaoyuan Fang, Hang Zhao:
AlignNet: A Unifying Approach to Audio-Visual Alignment. 3298-3306 - Leo F. Isikdogan, Timo Gerasimow, Gilad Michael:
Eye Contact Correction using Deep Neural Networks. 3307-3315 - Ömer Sümer, Peter Gerjets, Ulrich Trautwein, Enkelejda Kasneci:
Attention Flow: End-to-End Joint Attention Estimation. 3316-3325 - Xu Cao, Weimin Wang, Katashi Nagao, Ryosuke Nakamura:
PSNet: A Style Transfer Network for Point Cloud Stylization on Geometry and Color. 3326-3334 - Omid Poursaeed, Vladimir G. Kim, Eli Shechtman, Jun Saito, Serge J. Belongie:
Neural Puppet: Generative Layered Cartoon Characters. 3335-3345 - Matthias Innmann, Jochen Süßmuth, Marc Stamminger:
BRDF-Reconstruction in Photogrammetry Studio Setups. 3346-3354 - Thiago L. Gomes, Renato Martins, João P. K. Ferreira, Erickson R. Nascimento:
Do As I Do: Transferring Human Motion and Appearance between Monocular Videos with Spatial and Temporal Constraints. 3355-3364 - Mengliu Li, Han Xu, Jinjun Wang, Wenpeng Li, Yongli Sun:
Temporal Aggregation with Clip-level Attention for Video-based Person Re-identification. 3365-3373 - Soumya Tripathy, Juho Kannala, Esa Rahtu:
ICface: Interpretable and Controllable Face Reenactment Using GANs. 3374-3383 - Jan Zelinka, Jakub Kanis:
Neural Sign Language Synthesis: Words Are Our Glosses. 3384-3392 - Hadi Kazemi, Fariborz Taherkhani, Nasser M. Nasrabadi:
Preference-Based Image Generation. 3393-3402 - Joseph Ramsay, Hyung Jin Chang:
Body Pose Sonification for a View-Independent Auditory Aid to Blind Rock Climbers. 3403-3410 - Kyungjun Lee, Abhinav Shrivastava, Hernisa Kacorri:
Hand-Priming in Object Localization for Assistive Egocentric Vision. 3411-3421 - Lingzhi Zhang, Jiancong Wang, Jianbo Shi:
Multimodal Image Outpainting with Regularized Normalized Diversification. 3422-3431 - Zhecan Wang, Jian Zhao, Cheng Lu, Han Huang, Fan Yang, Lianji Li, Yandong Guo:
Learning to Detect Head Movement in Unconstrained Remote Gaze Estimation in the Wild. 3432-3441 - Hai Phan, Dang Huynh, Yihui He, Marios Savvides, Zhiqiang Shen:
MoBiNet: A Mobile Binary Network for Image Classification. 3442-3451 - Petru Soviany, Claudiu Ardei, Radu Tudor Ionescu, Marius Leordeanu:
Image Difficulty Curriculum for Generative Adversarial Networks (CuGAN). 3452-3461 - Ijaz Akhter, Loong Fah Cheong, Richard Hartley:
Fast Postprocessing for Difficult Discrete Energy Minimization Problems. 3462-3471 - Mike Brodie, Brian Rasmussen, Chris Tensmeyer, Scott Corbitt, Tony R. Martinez:
CoachGAN. 3472-3481 - Melissa Cote, Alexandra Branzan Albu:
Towards Preserving the Ephemeral: Texture-Based Background Modelling for Capturing Back-of-the-Napkin Notes. 3482-3490 - Lei Kang, Marçal Rusiñol, Alicia Fornés, Pau Riba, Mauricio Villegas:
Unsupervised Adaptation for Synthetic-to-Real Handwritten Word Recognition. 3491-3500 - Ritwick Chaudhry, Sumit Shekhar, Utkarsh Gupta, Pranav Maneriker, Prann Bansal, Ajay Joshi:
LEAF-QA: Locate, Encode & Attend for Figure Question Answering. 3501-3510 - Yike Qi, W. Ronny Huang, Qianqian Li, Jonathan L. DeGange:
DeepErase: Weakly Supervised Ink Artifact Removal in Document Text Images. 3511-3519 - Yu Xie, Fangrui Zhu, Yanwei Fu:
Main-Secondary Network for Defect Segmentation of Textured Surface Images. 3520-3529 - Oren Haik, Oded Perry, Eli Chen, Peter Klammer:
A Novel Inspection System For Variable Data Printing Using Deep Learning. 3530-3539 - Augusto C. Valente, Cristina Wada, Deangela Neves, Deangeli Neves, Fábio V. M. Perez, Guilherme A. S. Megeto, Marcos H. Cascone, Otavio Gomes, Qian Lin:
Print Defect Mapping with Semantic Segmentation. 3540-3548 - Aphinya Chairat, Matthew N. Dailey, Somphop Limsoonthrakul, Mongkol Ekpanyapong, Dharma Raj KC:
Low Cost, High Performance Automatic Motorcycle Helmet Violation Detection. 3549-3557 - Dong Liu, Rohit Puri, Nagendra Kamath, Subhabrata Bhattacharya:
Composition-Aware Image Aesthetics Assessment. 3558-3567 - Joachim Folz, Sebastian Palacio, Jörn Hees, Andreas Dengel:
Adversarial Defense based on Structure-to-Signal Autoencoders. 3568-3577 - Ye Yuan, Wuyang Chen, Tianlong Chen, Yang Yang, Zhou Ren, Zhangyang Wang, Gang Hua:
Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification. 3578-3587 - Siddhant Katyan, Shrutimoy Das, Pawan Kumar:
Two-Grid Preconditioned Solver for Bundle Adjustment. 3588-3595 - Anirudh Singhal, Ayush Chopra, Kumar Ayush, Utkarsh Patel, Balaji Krishnamurthy:
Towards a Unified Framework for Visual Compatibility Prediction. 3596-3605 - Wentao Zhu, Andriy Myronenko, Ziyue Xu, Wenqi Li, Holger Roth, Yufang Huang, Fausto Milletari, Daguang Xu:
NeurReg: Neural Registration and Its Application to Image Segmentation. 3606-3615 - Jiancong Wang, Yuhua Chen, Yifan Wu, Jianbo Shi, James C. Gee:
Enhanced generative adversarial network for 3D brain MRI super-resolution. 3616-3625 - Kishan Sharma, Moritz Gold, Christian Zurbruegg, Laura Leal-Taixé, Jan Dirk Wegner:
HistoNet: Predicting size histograms of object instances. 3626-3634 - Yingda Xia, Fengze Liu, Dong Yang, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth:
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training. 3635-3644 - Liangzhi Li, Manisha Verma, Yuta Nakashima, Hajime Nagahara, Ryo Kawasaki:
IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks. 3645-3654 - Martin Weigert, Uwe Schmidt, Robert Haase, Ko Sugawara, Gene Myers:
Star-convex Polyhedra for 3D Object Detection and Segmentation in Microscopy. 3655-3662 - Edgar Riba, Dmytro Mishkin, Daniel Ponsa, Ethan Rublee, Gary R. Bradski:
Kornia: an Open Source Differentiable Computer Vision Library for PyTorch. 3663-3672
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