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ORCID30th BMVC 2019: Cardiff, UK
- 30th British Machine Vision Conference 2019, BMVC 2019, Cardiff, UK, September 9-12, 2019. BMVA Press 2019
Spotlights (Session 1)
- Yixuan Liu, Yuwang Wang, Shengjin Wang:
Adversarial View-Consistent Learning for Monocular Depth Estimation. 1 - Tony Joseph, Konstantinos G. Derpanis, Faisal Z. Qureshi:
Joint Spatial and Layer Attention for Convolutional Networks. 2 - Alireza Shafaei, Mark Schmidt, James J. Little:
A Less Biased Evaluation of Out-of-distribution Sample Detectors. 3 - Koichiro Niinuma, László A. Jeni, Itir Önal Ertugrul, Jeffrey F. Cohn:
Unmasking the Devil in the Details: What Works for Deep Facial Action Coding? 4 - Jian Hu, Hongya Tuo, Chao Wang, Lingfeng Qiao, Haowen Zhong, Zhongliang Jing:
Multi-Weight Partial Domain Adaptation. 5 - Yujia Li, Hongchao Gao, Xi Wang, Jizhong Han, Ruixuan Li:
Text Recognition using local correlation. 6 - Ryo Hachiuma, Christian Pirchheim, Dieter Schmalstieg, Hideo Saito:
DetectFusion: Detecting and Segmenting Both Known and Unknown Dynamic Objects in Real-time SLAM. 7 - Hankyeol Lee, Seokeon Choi, Youngeun Kim, Changick Kim:
Bilinear Siamese Networks with Background Suppression for Visual Object Tracking. 8 - Zohaib Ali, Muhammad Latif Anjum, Wajahat Hussain:
Adversarial Examples for Handcrafted Features. 9 - Yunxuan Zhang, Siwei Zhang, Yue He, Cheng Li, Chen Change Loy, Ziwei Liu:
One-shot Face Reenactment. 10 - Sookyung Kim, Sunghyun Park, Sunghyo Chung, Joonseok Lee, Yunsung Lee, Hyojin Kim, Prabhat, Jaegul Choo:
Learning to Focus and Track Extreme Climate Events. 11 - Chaoning Zhang, François Rameau, Seokju Lee, Junsik Kim, Philipp Benz, Dawit Mureja Argaw, Jean-Charles Bazin, In So Kweon:
Revisiting Residual Networks with Nonlinear Shortcuts. 12 - Akila Pemasiri, Kien Nguyen, Sridha Sridharan, Clinton Fookes:
Unified 2D and 3D Hand Pose Estimation from a Single Visible or X-ray Image. 13 - Nathan Piasco, Désiré Sidibé, Cédric Demonceaux, Valérie Gouet-Brunet:
Perspective-n-Learned-Point: Pose Estimation from Relative Depth. 14 - Vagia Tsiminaki, Wei Dong, Martin R. Oswald, Marc Pollefeys:
Joint Multi-view Texture Super-resolution and Intrinsic Decomposition. 15 - Takuhiro Kaneko, Yoshitaka Ushiku, Tatsuya Harada:
Class-Distinct and Class-Mutual Image Generation with GANs. 16
Oral Presentations: Deep Learning for Vision (Session 1)
- Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Kate Saenko, Vittorio Murino, Stan Sclaroff:
Guided Zoom: Questioning Network Evidence for Fine-grained Classification. 17 - Federico Landi, Lorenzo Baraldi, Massimiliano Corsini, Rita Cucchiara:
Embodied Vision-and-Language Navigation with Dynamic Convolutional Filters. 18 - Zhe Xu, Ray C. C. Cheung:
Accurate and Compact Convolutional Neural Networks with Trained Binarization. 19 - Ankit Khare, Manfred Huber:
Show, Infer and Tell: Contextual Inference for Creative Captioning. 20 - Yunqiang Li, Wenjie Pei, Yufei Zha, Jan van Gemert:
Push for Quantization: Deep Fisher Hashing. 21 - George Retsinas
, Athena Elafrou, Georgios I. Goumas, Petros Maragos:
RecNets: Channel-wise Recurrent Convolutional Neural Networks. 22
Posters (Session 1)
- Muhammad Shahzeb Khan Gul, Michel Bätz, Joachim Keinert:
Pixel-Wise Confidences for Stereo Disparities Using Recurrent Neural Networks. 23 - Jikai Lu, Jianhui Chen, James J. Little:
Pan-tilt-zoom SLAM for Sports Videos. 24 - Jia-Wang Bian, Yu-Huan Wu, Ji Zhao, Yun Liu, Le Zhang, Ming-Ming Cheng, Ian Reid:
An Evaluation of Feature Matchers for Fundamental Matrix Estimation. 25 - Gaku Nakano:
A Simple Direct Solution to the Perspective-Three-Point Problem. 26 - Nao Mishima, Tatsuo Kozakaya, Akihisa Moriya, Ryuzo Okada, Shinsaku Hiura:
Physical Cue based Depth-Sensing by Color Coding with Deaberration Network. 28 - Meiling Fang, Thomas Pollok, Chengchao Qu:
Merge-SfM: Merging Partial Reconstructions. 29 - Siyuan Liu, Xuefeng Du, Rong Xi, Fuya Xu, Xiangrui Zeng, Bo Zhou, Min Xu:
Semi-supervised Macromolecule Structural Classification in Cellular Electron Cryo-Tomograms using 3D Autoencoding Classifier. 30 - Ignas Budvytis, Marvin Teichmann, Tomas Vojir, Roberto Cipolla:
Large scale joint semantic re-localisation and scene understanding via globally unique instance coordinate regression. 31 - Titus Cieslewski, Michael Bloesch, Davide Scaramuzza:
Matching Features without Descriptors: Implicitly Matched Interest Points. 32 - Hung-Yu Tseng, Shalini De Mello, Jonathan Tremblay, Sifei Liu, Stan Birchfield, Ming-Hsuan Yang, Jan Kautz:
Few-Shot Viewpoint Estimation. 39 - Marcus Valtonen Örnhag, Carl Olsson, Anders Heyden:
Differentiable Fixed-Rank Regularisation using Bilinear Parameterisation. 40 - Ali Cheraghian, Shafin Rahman, Dylan Campbell, Lars Petersson:
Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects. 41 - Manolis Vasileiadis, Christos-Savvas Bouganis, Georgios Stavropoulos, Dimitrios Tzovaras:
Optimising 3D-CNN Design towards Human Pose Estimation on Low Power Devices. 42 - S. M. Iman Zolanvari, Susana Ruano, Aakanksha Rana, Alan Cummins, Rogério Eduardo da Silva, Morteza Rahbar, Aljosa Smolic:
DublinCity: Annotated LiDAR Point Cloud and its Applications. 44 - Dominik Kulon, Haoyang Wang, Riza Alp Güler, Michael M. Bronstein, Stefanos Zafeiriou:
Single Image 3D Hand Reconstruction with Mesh Convolutions. 45 - Ammar Qammaz, Antonis A. Argyros:
MocapNET: Ensemble of SNN Encoders for 3D Human Pose Estimation in RGB Images. 46 - Sindhu B. Hegde, Shankar Gangisetty:
An Evaluation of Feature Encoding Techniques for Non-Rigid and Rigid 3D Point Cloud Retrieval. 47 - Zerui Chen, Yiru Guo, Yan Huang, Liang Wang:
Learning Depth-aware Heatmaps for 3D Human Pose Estimation in the Wild. 50 - Polina Zablotskaia, Aliaksandr Siarohin, Bo Zhao, Leonid Sigal:
DwNet: Dense warp-based network for pose-guided human video generation. 51 - Akankshya Kar, Prakhar Kulshreshtha, Ayush Agrawal, Sandeep Palakkal, Lokesh R. Boregowda:
Annotation-free Quality Estimation of Food Grains using Deep Neural Network. 52 - Yang Xiao, Xuchong Qiu, Pierre-Alain Langlois, Mathieu Aubry, Renaud Marlet:
Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects. 61 - Adrian Bulat, Georgios Tzimiropoulos:
XNOR-Net++: Improved binary neural networks. 62 - Vinod Kumar Kurmi, Vipul Bajaj, Venkatesh K. Subramanian, Vinay P. Namboodiri:
Curriculum based Dropout Discriminator for Domain Adaptation. 63 - Ke Zhan, Shimiao Jiang, Yu Bai, Yi Li, Xu Liu, Zhuoran Xu:
Directed-Weighting Group Lasso For Eltwise Blocked CNN Pruning. 65 - Ruochen Zheng, Lerenhan Li, Chuchu Han, Changxin Gao, Nong Sang:
Camera Style and Identity Disentangling Network for Person Re-identification. 66 - Jaehoon Choi, Minki Jeong, Taekyung Kim, Changick Kim:
Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation. 67 - Sarah Alotaibi, William A. P. Smith:
BioFaceNet: Deep Biophysical Face Image Interpretation. 68 - Zachary Seymour, Karan Sikka, Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar:
Semantically-Aware Attentive Neural Embeddings for 2D Long-Term Visual Localization. 70 - Yanqi Zhou, Peng Wang:
EPNAS: Efficient Progressive Neural Architecture Search. 71 - Ali Shafahi, Amin Ghiasi, Mahyar Najibi, Furong Huang, John P. Dickerson, Tom Goldstein:
Batch-wise Logit-Similarity: Generalizing Logit-Squeezing and Label-Smoothing. 72 - Fabian B. Fuchs, Oliver Groth, Adam R. Kosiorek, Alex Bewley, Markus Wulfmeier, Andrea Vedaldi, Ingmar Posner:
Scrutinizing and De-Biasing Intuitive Physics with Neural Stethoscopes. 73 - Mingxing Tan, Quoc V. Le:
MixConv: Mixed Depthwise Convolutional Kernels. 74 - Fawaz Sammani, Mahmoud Elsayed:
Look and Modify: Modification Networks for Image Captioning. 75 - Adrien Deliège, Maxime Istasse, Ashwani Kumar, Christophe De Vleeschouwer, Marc Van Droogenbroeck:
Ordinal Pooling. 76 - Yuying Hao, Tuanhui Li, Yong Jiang, Xuanye Cheng, Li Li:
Defending against adversarial examples using defense kernel network. 77 - Cameron P. Kyle-Davidson, Adrian G. Bors, Karla K. Evans:
Predicting Visual Memory Schemas with Variational Autoencoders. 79 - Jie Wu, Ying Peng, Chenghao Zheng, Zongbo Hao, Jian Zhang:
PMC-GANs: Generating Multi-Scale High-Quality Pedestrian with Multimodal Cascaded GANs. 81 - Christopher Zach, Virginia Estellers:
Contrastive Learning for Lifted Networks. 82 - Deying Kong, Yifei Chen, Haoyu Ma, Xiangyi Yan, Xiaohui Xie:
Adaptive Graphical Model Network for 2D Handpose Estimation. 83 - Bojana Gajic, Ariel Amato, Ramón Baldrich, Carlo Gatta:
Bag of Negatives for Siamese Architectures. 84 - Shiyang Yan, Yang Hua, Neil Robertson:
SC-RANK: Improving Convolutional Image Captioning with Self-Critical Learning and Ranking Metric-based Reward. 85 - Muthuvel Murugan Issakkimuthu, K. V. Subrahmanyam:
SO(2)-equivariance in Neural networks using tensor nonlinearity. 86 - Xin Wang, Xiang Wang, Chen Wang, Xiao Bai, Jing Wu, Edwin Robert Hancock:
Discriminative Features Matter: Multi-layer Bilinear Pooling for Camera Localization. 87 - Ankita Shukla, Sarthak Bhagat, Shagun Uppal, Saket Anand, Pavan K. Turaga:
PrOSe: Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning. 88 - Simeon E. Spasov, Pietro Liò:
Dynamic Neural Network Channel Execution for Efficient Training. 89 - Andrew Zhai, Hao-Yu Wu:
Classification is a Strong Baseline for Deep Metric Learning. 91 - Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen:
Functionality-Oriented Convolutional Filter Pruning. 92 - Xiao Yang, Dafang He, Daniel Kifer, C. Lee Giles:
A Learning-based Text Synthesis Engine for Scene Text Detection. 94 - Shuchun Liu, Feiyun Zhang, Mingxi Chen, Yufei Xie, Pan He, Jie Shao:
Document Binarization using Recurrent Attention Generative Model. 95 - Tuan Anh Nguyen Dang, Dat Nguyen Thanh:
End-to-End Information Extraction by Character-Level Embedding and Multi-Stage Attentional U-Net. 96 - Jianhang Zhou, Shaoning Zeng, Bob Zhang:
Two-stage Image Classification Supervised by a Single Teacher Single Student Model. 99 - Hamid Reza Vaezi Joze, Oscar Koller:
MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language. 100 - Jiahao Lin, Gim Hee Lee:
Trajectory Space Factorization for Deep Video-Based 3D Human Pose Estimation. 101 - Zhuo Su, Matti Pietikäinen, Li Liu:
BIRD: Learning Binary and Illumination Robust Descriptor for Face Recognition. 102 - Yuxiao Chen, Long Zhao, Xi Peng, Jianbo Yuan, Dimitris N. Metaxas:
Construct Dynamic Graphs for Hand Gesture Recognition via Spatial-Temporal Attention. 103 - Corneliu Florea, Laura Florea, Mihai-Sorin Badea, Constantin Vertan, Andrei Racoviteanu:
Annealed Label Transfer for Face Expression Recognition. 104 - Yuecong Min, Xiujuan Chai, Lei Zhao, Xilin Chen:
FlickerNet: Adaptive 3D Gesture Recognition from Sparse Point Clouds. 105 - Songjiang Li, Honggai Li, Jinshi Cui, Hongbin Zha:
Pose-Aware Face Alignment based on CNN and 3DMM. 106 - Andrei Racoviteanu, Mihai-Sorin Badea, Corneliu Florea, Laura Florea, Constantin Vertan:
Large Margin Loss for Learning Facial Movements from Pseudo-Emotions. 108 - Sai Saketh Rambhatla, Michael Jones:
Body Part Alignment and Temporal Attention Pooling for Video-Based Person Re-Identification. 109 - Muzammil Behzad, Nhat Vo, Xiaobai Li, Guoying Zhao:
Automatic 4D Facial Expression Recognition via Collaborative Cross-domain Dynamic Image Network. 110 - Shenqi Lai, Zhenhua Chai, Shengxi Li, Huanhuan Meng, Mengzhao Yang, Xiaoming Wei:
Enhanced Normalized Mean Error loss for Robust Facial Landmark detection. 111 - Pengfei Ren, Haifeng Sun, Qi Qi, Jingyu Wang, Weiting Huang:
SRN: Stacked Regression Network for Real-time 3D Hand Pose Estimation. 112 - Usman Muhammad, Tuomas Holmberg, Wheidima Carneiro de Melo, Abdenour Hadid:
Face Anti-Spoofing via Sample Learning Based Recurrent Neural Network (RNN). 113 - Itir Önal Ertugrul, László A. Jeni, Jeffrey F. Cohn:
PAttNet: Patch-attentive deep network for action unit detection. 114 - Liangjian Chen, Shih-Yao Lin, Yusheng Xie, Hui Tang, Yufan Xue, Yen-Yu Lin, Xiaohui Xie, Wei Fan:
TAGAN: Tonality Aligned Generative Adversarial Networks for Realistic Hand Pose Synthesis. 116 - Jieru Jia, Qiuqi Ruan, Timothy M. Hospedales:
Frustratingly Easy Person Re-Identification: Generalizing Person Re-ID in Practice. 117 - Masataka Yamaguchi, Go Irie, Takahito Kawanishi, Kunio Kashino:
Delving Deep into Least Square Regression Model for Subspace Clustering. 118 - Jason Ramapuram, Maurits Diephuis, Frantzeska Lavda, Russ Webb, Alexandros Kalousis:
Variational Saccading: Efficient Inference for Large Resolution Images. 119 - Salaheddin Alakkari, John Dingliana:
An Acceleration Scheme for Mini-batch, Streaming PCA. 120 - Aditya R. Bhattacharya, Ji Liu, Shayok Chakraborty:
A Generic Active Learning Framework for Class Imbalance Applications. 121 - Youshan Zhang, Sihong Xie, Brian D. Davison:
Transductive Learning Via Improved Geodesic Sampling. 122 - Huaqi Mao, Haofeng Zhang, Yang Long, Shidong Wang, Longzhi Yang:
A General Transductive Regularizer for Zero-Shot Learning. 123 - Jucheol Won, Sunghyun Cho:
Video Upright Adjustment and Stabilization. 129 - Wei-Sheng Lai, Orazio Gallo, Jinwei Gu, Deqing Sun, Ming-Hsuan Yang, Jan Kautz:
Video Stitching for Linear Camera Arrays. 130 - Xiao Wang, Rui Yang, Tao Sun, Bin Luo:
Learning Target-aware Attention for Robust Tracking with Conditional Adversarial Network. 131 - Jan Fabian Schmid, Stephan F. Simon, Rudolf Mester:
Features for Ground Texture Based Localization - A Survey. 134 - Jongin Lim, Hyung Jin Chang, Jin Young Choi:
PMnet: Learning of Disentangled Pose and Movement for Unsupervised Motion Retargeting. 136
Oral Presentations: Deep Learning for Vision (Session 2)
- Iuliia Kotseruba, Calden Wloka, Amir Rasouli, John K. Tsotsos:
Do Saliency Models Detect Odd-One-Out Targets? New Datasets and Evaluations. 137 - Kohei Yamamoto, Kurato Maeno:
PCAS: Pruning Channels with Attention Statistics for Deep Network Compression. 138 - Takumi Kobayashi:
Large Margin In Softmax Cross-Entropy Loss. 139 - Zoltán Ádám Milacski, Barnabás Póczos, András Lorincz:
Differentiable Unrolled Alternating Direction Method of Multipliers for OneNet. 140 - Seunghyun Lee, Byung Cheol Song:
Graph-based Knowledge Distillation by Multi-head Attention Network. 141 - Marvin Teichmann, Roberto Cipolla:
Convolutional CRFs for Semantic Segmentation. 142 - Xuelu Li, Vishal Monga:
Group Based Deep Shared Feature Learning for Fine-grained Image Classification. 143 - Philipp Harzig, Yan-Ying Chen, Francine Chen, Rainer Lienhart:
Addressing Data Bias Problems for Chest X-ray Image Report Generation. 144
Spotlights (Session 2)
- Haoliang Tan, Le Wang, Qilin Zhang, Zhanning Gao, Nanning Zheng, Gang Hua:
Object Affordances Graph Network for Action Recognition. 145 - Berkan Demirel, Ramazan Gokberk Cinbis, Nazli Ikizler-Cinbis:
Image Captioning with Unseen Objects. 146 - Yupei Zheng, Xin Yu, Miaomiao Liu, Shunli Zhang:
Residual Multiscale Based Single Image Deraining. 147 - Xuefeng Du, Xiangrui Zeng, Bo Zhou, Alex Singh, Min Xu:
Open-set Recognition of Unseen Macromolecules in Cellular Electron Cryo-Tomograms by Soft Large Margin Centralized Cosine Loss. 148 - Ya-Liang Chang, Zhe Yu Liu, Kuan-Ying Lee, Winston H. Hsu:
Learnable Gated Temporal Shift Module for Free-form Video Inpainting. 149 - Fengling Mao, Bingpeng Ma, Hong Chang, Shiguang Shan, Xilin Chen:
MS-GAN: Text to Image Synthesis with Attention-Modulated Generators and Similarity-aware Discriminators. 150 - Konstantinos E. Papoutsakis, Antonis A. Argyros:
Unsupervised and Explainable Assessment of Video Similarity. 151 - Honglie Chen, Weidi Xie, Andrea Vedaldi, Andrew Zisserman:
AutoCorrect: Deep Inductive Alignment of Noisy Geometric Annotations. 152 - Shivangi Srivastava, Maxim Berman, Matthew B. Blaschko, Devis Tuia:
Adaptive Compression-based Lifelong Learning. 153 - Mina Bishay, Georgios Zoumpourlis, Ioannis Patras:
TARN: Temporal Attentive Relation Network for Few-Shot and Zero-Shot Action Recognition. 154 - Sreenithy Chandran, Suren Jayasuriya:
Adaptive Lighting for Data-Driven Non-Line-of-Sight 3D Localization and Object Identification. 155 - Trong-Nguyen Nguyen, Jean Meunier:
Hybrid Deep Network for Anomaly Detection. 156 - Wanqian Zhang, Dayan Wu, Jing Liu, Bo Li, Xiaoyan Gu, Weiping Wang, Dan Meng:
Fast and Multilevel Semantic-Preserving Discrete Hashing. 157 - Jianing Qiu, Frank Po Wen Lo, Yingnan Sun, Siyao Wang, Benny Lo:
Mining Discriminative Food Regions for Accurate Food Recognition. 158 - Petar Palasek, Nilli Lavie, Luke Palmer:
Attentional demand estimation with attentive driving models. 159 - Juhyun Ahn:
Generalised Visual Microphone. 160
Oral Presentations: 3D Computer Vision
- Yuncheng Li, Zehao Xue, Yingying Wang, Liuhao Ge, Zhou Ren, Jonathan Rodriguez:
End-to-End 3D Hand Pose Estimation from Stereo Cameras. 161 - Seong Hun Lee, Javier Civera:
Triangulation: Why Optimize? 162