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ORCIDCoRR, April 2021
- Yawar Siddiqui, Justus Thies, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai:
RetrievalFuse: Neural 3D Scene Reconstruction with a Database.
- Matthias Kaiser, Tatjana Buklijas, Peter Gluckman:
Models and numbers: Representing the world or imposing order? - Tien-Ju Yang, Yi-Lun Liao, Vivienne Sze:
NetAdaptV2: Efficient Neural Architecture Search with Fast Super-Network Training and Architecture Optimization. - Moritz Böhle, Mario Fritz, Bernt Schiele:
Convolutional Dynamic Alignment Networks for Interpretable Classifications. - Zuguang Gao, John R. Birge, Varun Gupta:
Approximation Schemes for Multiperiod Binary Knapsack Problems. - Tamer Ölmez, Zümray Dokur:
Strengthening the Training of Convolutional Neural Networks By Using Walsh Matrix. - Jason S. Hoffman, Varun Viswanath, Xinyi Ding, Matthew J. Thompson, Eric C. Larson, Shwetak N. Patel, Edward Jay Wang:
Smartphone Camera Oximetry in an Induced Hypoxemia Study. - Allahsera Auguste Tapo, Michael Leventhal, Sarah Luger, Christopher M. Homan, Marcos Zampieri:
Domain-specific MT for Low-resource Languages: The case of Bambara-French. - Christian Stewart
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SkiffOS: Minimal Cross-compiled Linux for Embedded Containers. - Ryan Hoque, Ashwin Balakrishna, Carl Putterman, Michael Luo, Daniel S. Brown, Daniel Seita, Brijen Thananjeyan, Ellen R. Novoseller, Ken Goldberg:
LazyDAgger: Reducing Context Switching in Interactive Imitation Learning. - Daniel Deutsch, Rotem Dror, Dan Roth:
A Statistical Analysis of Summarization Evaluation Metrics using Resampling Methods. - Amit Roy, Kashob Kumar Roy, Amin Ahsan Ali, M. Ashraful Amin, A. K. M. Mahbubur Rahman:
SST-GNN: Simplified Spatio-temporal Traffic forecasting model using Graph Neural Network. - Zeinab Azadeh Kermansaravi, Md. Saidur Rahman, Foutse Khomh, Fehmi Jaafar, Yann-Gaël Guéhéneuc:
Investigating Design Anti-pattern and Design Pattern Mutations and Their Change- and Fault-proneness. - Atul Ingle, Trevor Seets, Mauro Buttafava, Shantanu Gupta, Alberto Tosi, Mohit Gupta, Andreas Velten:
Passive Inter-Photon Imaging. - Jingkai Chen, Yuening Zhang, Cheng Fang, Brian C. Williams:
Generalized Conflict-directed Search for Optimal Ordering Problems. - Junheng Li, Quan Nguyen:
Force-and-moment-based Model Predictive Control for Achieving Highly Dynamic Locomotion on Bipedal Robots. - Khoi Nguyen, Sinisa Todorovic:
FAPIS: A Few-shot Anchor-free Part-based Instance Segmenter. - Mehdi Naderi Soorki, Walid Saad, Mehdi Bennis, Choong Seon Hong:
Ultra-Reliable Indoor Millimeter Wave Communications using Multiple Artificial Intelligence-Powered Intelligent Surfaces. - Jiyo Palatti, Andrei Aksjonov, Gokhan Alcan, Ville Kyrki:
Planning for Safe Abortable Overtaking Maneuvers in Autonomous Driving. - Mengxi Li, Alper Canberk, Dylan P. Losey, Dorsa Sadigh:
Learning Human Objectives from Sequences of Physical Corrections. - Li Zhang, Faezeh Tafazzoli, Gunther Krehl, Runsheng Xu, Timo Rehfeld, Manuel Schier, Arunava Seal:
Hierarchical Road Topology Learning for Urban Map-less Driving. - Hudson Martins Silva Bruno, Esther Luna Colombini:
A comparative evaluation of learned feature descriptors on hybrid monocular visual SLAM methods. - Carine Rognon, Taylor Bunge, Meiyuzi Gao, Chip Conor, Benjamin Stephens-Fripp, Casey Brown, Ali Israr:
An Online Survey on the Perception of Mediated Social Touch Interaction and Device Design. - Yupeng Fu, Chinmay Soman:
Real-time Data Infrastructure at Uber. - Sebastian Meznar, Nada Lavrac, Blaz Skrlj:
Transfer Learning for Node Regression Applied to Spreading Prediction. - Xiaodong Wei:
THU-Splines: Highly Localized Refinement on Smooth Unstructured Splines. - Lea A. Shanley, Lucy Fortson, Tanya Y. Berger-Wolf, Kevin Crowston, Pietro Michelucci:
Imagine All the People: Citizen Science, Artificial Intelligence, and Computational Research. - Christina N. Harrington, Ben Jelen, Amanda Lazar, Aqueasha Martin-Hammond, Alisha Pradhan, Blaine Reeder, Katie A. Siek:
Taking Stock of the Present and Future of Smart Technologies for Older Adults and Caregivers. - Devansh Jalota, Kiril Solovey, Stephen Zoepf, Marco Pavone:
Balancing Fairness and Efficiency in Traffic Routing via Interpolated Traffic Assignment. - Hudson Martins Silva Bruno, Esther Luna Colombini:
LIFT-SLAM: a deep-learning feature-based monocular visual SLAM method. - Shuo Han, Samuel Remedios, Aaron Carass, Michael Schär, Jerry L. Prince:
MR Slice Profile Estimation by Learning to Match Internal Patch Distributions. - Xiao Tan, Wenceslao Shaw-Cortez, Dimos V. Dimarogonas:
High-order Barrier Functions: Robustness, Safety and Performance-Critical Control. - Jason Li, Danupon Nanongkai, Debmalya Panigrahi, Thatchaphol Saranurak, Sorrachai Yingchareonthawornchai:
Vertex Connectivity in Poly-logarithmic Max-flows. - Aviral Joshi, Chengzhi Huang, Har Simrat Singh:
Zero-Shot Language Transfer vs Iterative Back Translation for Unsupervised Machine Translation. - Abhinav Khattar, Aviral Joshi, Har Simrat Singh, Pulkit Goel, Rohit Prakash Barnwal:
Analysis on Image Set Visual Question Answering. - Peipei Lu, Andreas Rupp, Guido Kanschat:
Analysis of injection operators in multigrid solvers for hybridized discontinuous Galerkin methods. - Zachary E. Lee, K. Max Zhang:
Generalized Reinforcement Learning for Building Control using Behavioral Cloning. - Peter Nabende, David Kabiito, Claire Babirye, Hewitt Tusiime, Joyce Nakatumba-Nabende:
Misinformation detection in Luganda-English code-mixed social media text. - Farnoosh Faraji, Faraz Lotfi, Javad Khorramdel, Ali Najafi, Ali Ghaffari:
Drowsiness Detection Based On Driver Temporal Behavior Using a New Developed Dataset. - Thomas Beckers, Sandra Hirche, Leonardo Colombo:
Safe Online Learning-based Formation Control of Multi-Agent Systems with Gaussian Processes. - Chien-Lun Chen, Leana Golubchik, Ranjan Pal:
Achieving Transparency Report Privacy in Linear Time. - Yufeng Chen:
NodeSRT: A Selective Regression Testing Tool for Node.js Application. - Gonzalo Gabriel Méndez, Luis Galárraga, Katherine Chiluiza:
Showing Academic Performance Predictions during Term Planning: Effects on Students' Decisions, Behaviors, and Preferences. - Vitor Guizilini, Igor Vasiljevic, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon:
Full Surround Monodepth from Multiple Cameras. - Nikos Katzouris, Alexander Artikis, Georgios Paliouras:
Online Learning Probabilistic Event Calculus Theories in Answer Set Programming. - Daniel Reusche, Nicolás Della Penna:
Towards Prior-Free Approximately Truthful One-Shot Auction Learning via Differential Privacy. - Andres Baloian, Nils Murrugarra-Llerena, Jose M. Saavedra:
Scalable Visual Attribute Extraction through Hidden Layers of a Residual ConvNet. - Faraz Torabi, Garrett Warnell, Peter Stone:
DEALIO: Data-Efficient Adversarial Learning for Imitation from Observation. - Fatoumata Dama, Christine Sinoquet:
Analysis and modeling to forecast in time series: a systematic review. - Kenneth Stewart, Andreea Danielescu, Lazar Supic, Timothy M. Shea, Emre Neftci:
Gesture Similarity Analysis on Event Data Using a Hybrid Guided Variational Auto Encoder. - Samuel C. Pinto, Sean B. Andersson, Julien M. Hendrickx, Christos G. Cassandras:
A Semidefinite Programming Approach to Discrete-time Infinite Horizon Persistent Monitoring. - Muhyun Back, Jinkyu Lee, Kyuho Bae, Sung Soo Hwang, Il Yong Chun:
Improved and efficient inter-vehicle distance estimation using road gradients of both ego and target vehicles. - Robik Shrestha, Kushal Kafle, Christopher Kanan:
An Investigation of Critical Issues in Bias Mitigation Techniques. - Muhammad Abubakar Alhassan, Isa Inuwa-Dutse, Bello Shehu Bello, Diane Rasmussen Pennington:
Self-harm: detection and support on Twitter. - Abhishek Ninad Kulkarni, Shuo Han, Nandi O. Leslie, Charles A. Kamhoua, Jie Fu:
Qualitative Planning in Imperfect Information Games with Active Sensing and Reactive Sensor Attacks: Cost of Unawareness. - Samrudhdhi B. Rangrej, James J. Clark:
Visual Attention in Imaginative Agents. - Sian Jin, Jesus Pulido, Pascal Grosset, Jiannan Tian, Dingwen Tao, James P. Ahrens:
Adaptive Configuration of In Situ Lossy Compression for Cosmology Simulations via Fine-Grained Rate-Quality Modeling. - Chunhui Liu, Xinyu Li, Hao Chen, Davide Modolo, Joseph Tighe:
Selective Feature Compression for Efficient Activity Recognition Inference. - Md. Ahasanuzzaman, Safwat Hassan, Ahmed E. Hassan:
Studying Ad Library Integration Strategies of Top Free-to-Download Apps. - Douglas N. Arnold, Johnny Guzmán:
Local L2-bounded commuting projections in FEEC. - Samuel Felipe dos Santos, Jurandy Almeida:
Less is More: Accelerating Faster Neural Networks Straight from JPEG. - Zixun Lan, Limin Yu, Linglong Yuan, Zili Wu, Qiang Niu, Fei Ma:
Sub-GMN: The Subgraph Matching Network Model. - Mohammed I. Abouheaf, Wail Gueaieb, Md. Suruz Miah, Davide Spinello:
Trajectory Tracking of Underactuated Sea Vessels With Uncertain Dynamics: An Integral Reinforcement Learning Approach. - Zishen Wan, Yuyang Zhang, Arijit Raychowdhury, Bo Yu, Yanjun Zhang, Shaoshan Liu:
An Energy-Efficient Quad-Camera Visual System for Autonomous Machines on FPGA Platform. - Peng Chu, Jiang Wang, Quanzeng You, Haibin Ling, Zicheng Liu:
TransMOT: Spatial-Temporal Graph Transformer for Multiple Object Tracking. - Wenhan Wang, Ge Li, Sijie Shen, Xin Xia, Zhi Jin:
Modular Tree Network for Source Code Representation Learning. - Farah Ferdaus, Bashir M. Sabquat Bahar Talukder, Mehdi Sadi, Md. Tauhidur Rahman:
True Random Number Generation using Latency Variations of Commercial MRAM Chips. - Ning Wang, Mohammed I. Abouheaf, Wail Gueaieb:
Data-Driven Optimized Tracking Control Heuristic for MIMO Structures: A Balance System Case Study. - Xiaohang Fu, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim:
Graph-Based Intercategory and Intermodality Network for Multilabel Classification and Melanoma Diagnosis of Skin Lesions in Dermoscopy and Clinical Images. - Junhui Yin, Jiayan Qiu, Siqing Zhang, Jiyang Xie, Zhanyu Ma, Jun Guo:
Unsupervised Person Re-identification via Simultaneous Clustering and Consistency Learning. - Marina Haliem, Vaneet Aggarwal, Bharat K. Bhargava:
AdaPool: A Diurnal-Adaptive Fleet Management Framework using Model-Free Deep Reinforcement Learning and Change Point Detection. - Andrew Price, Kun Huang, Dmitry Berenson:
Fusing RGBD Tracking and Segmentation Tree Sampling for Multi-Hypothesis Volumetric Segmentation. - Longfei Yin, Onur Dizdar, Bruno Clerckx:
Rate-Splitting Multiple Access for Multigroup Multicast Cellular and Satellite Communications: PHY Layer Design and Link-Level Simulations. - Monith S. Reyunuru, Kriti Jethlia, Manjanna Basappa:
The k-Colorable Unit Disk Cover Problem. - Phuoc Pham, Jacob A. Abraham, Jaeyong Chung:
Training Multi-bit Quantized and Binarized Networks with A Learnable Symmetric Quantizer. - Süleyman Yildiz, Murat Uzunca, Bülent Karasözen:
Intrusive and non-intrusive reduced order modeling of the rotating thermal shallow water equation. - Xu Wang, Shuai Zhao, Bo Cheng, Jiale Han, Yingting Li, Hao Yang, Ivan Sekulic, Guoshun Nan:
Integrating Subgraph-aware Relation and DirectionReasoning for Question Answering. - Randall Balestriero, Richard G. Baraniuk:
Fast Jacobian-Vector Product for Deep Networks. - Longfei Yin, Bruno Clerckx, Yijie Mao:
Rate-Splitting Multiple Access for Multi-Antenna Broadcast Channels with Statistical CSIT. - Qi Zhao, Yujing Ma, Shuchang Lyu, Lijiang Chen:
Embedded Self-Distillation in Compact Multi-Branch Ensemble Network for Remote Sensing Scene Classification. - Junhui Yin, Zhanyu Ma, Jiyang Xie, Shibo Nie, Kongming Liang, Jun Guo:
DF^2AM: Dual-level Feature Fusion and Affinity Modeling for RGB-Infrared Cross-modality Person Re-identification. - Xiaoli Li, Weilong Wang, Jie Shen:
Stability and error analysis of IMEX SAV schemes for the magneto-hydrodynamic equations. - Jun Wang:
Two-phase weakly supervised object detection with pseudo ground truth mining. - Jiahui She, Yibo Hu, Hailin Shi, Jun Wang, Qiu Shen, Tao Mei:
Dive into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition. - Jie Wang, Kaibin Tian, Dayong Ding, Gang Yang, Xirong Li:
Unsupervised Domain Expansion for Visual Categorization. - Xinfang Liu, Xiushan Nie, Zhifang Tan, Jie Guo, Yilong Yin:
A Survey on Natural Language Video Localization. - Anuj Diwan, Rakesh Vaideeswaran, Sanket Shah, Ankita Singh, Srinivasa Raghavan K. M., Shreya Khare, Vinit Unni, Saurabh Vyas, Akash Rajpuria, Chiranjeevi Yarra, Ashish R. Mittal, Prasanta Kumar Ghosh, Preethi Jyothi, Kalika Bali, Vivek Seshadri, Sunayana Sitaram, Samarth Bharadwaj, Jai Nanavati, Raoul Nanavati, Karthik Sankaranarayanan, Tejaswi Seeram, Basil Abraham:
Multilingual and code-switching ASR challenges for low resource Indian languages. - Jianhua Li, Ximeng Liu, Jiong Jin, Shui Yu:
Too Expensive to Attack: A Joint Defense Framework to Mitigate Distributed Attacks for the Internet of Things Grid. - Zixuan Jiang, Jiaqi Gu, Mingjie Liu, Keren Zhu, David Z. Pan:
Optimizer Fusion: Efficient Training with Better Locality and Parallelism. - Jinxing Zhou, Liang Zheng, Yiran Zhong, Shijie Hao, Meng Wang:
Positive Sample Propagation along the Audio-Visual Event Line. - Ziyuan Huang, Shiwei Zhang, Jianwen Jiang, Mingqian Tang, Rong Jin, Marcelo H. Ang:
Self-supervised Motion Learning from Static Images. - Ziyi Wang, Oswin So, Jason Gibson, Bogdan I. Vlahov, Manan S. Gandhi, Guan-Horng Liu, Evangelos A. Theodorou:
Variational Inference MPC using Tsallis Divergence. - Qing Yu, Atsushi Hashimoto, Yoshitaka Ushiku:
Divergence Optimization for Noisy Universal Domain Adaptation. - Byeoungdo Kim, SeongHyeon Park, Seokhwan Lee, Elbek Khoshimjonov, Dongsuk Kum, Junsoo Kim, Jeong Soo Kim, Jun Won Choi:
LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents. - K. C. Sivaramakrishnan, Stephen Dolan, Leo White, Tom Kelly, Sadiq Jaffer, Anil Madhavapeddy:
Retrofitting Effect Handlers onto OCaml. - Zachary DeVito, Jason Ansel, Will Constable, Michael Suo, Ailing Zhang, Kim M. Hazelwood:
Using Python for Model Inference in Deep Learning. - Alexander Johansson, Ehsan Nekouei, Karl Henrik Johansson, Jonas Mårtensson:
Strategic Hub-Based Platoon Coordination under Uncertain Travel Times. - Xin Liang, Li Wang, Lei-Hong Zhang, Ren-Cang Li:
On Generalizing Trace Minimization. - Jiansong Li, Xiao Dong, Guangli Li, Peng Zhao, Xueying Wang, Xiaobing Chen, Xianzhi Yu, Yongxin Yang, Zihan Jiang, Wei Cao, Lei Liu, Xiaobing Feng:
Pinpointing the Memory Behaviors of DNN Training. - Prabhakar Gupta, Ridha Juneja, Anil Nelakanti, Tamojit Chatterjee:
Detecting over/under-translation errors for determining adequacy in human translations. - Adrian Barbu, Hongyu Mou:
The Compact Support Neural Network. - Jivnesh Sandhan, Om Adideva, Digumarthi Komal, Laxmidhar Behera, Pawan Goyal:
Evaluating Neural Word Embeddings for Sanskrit. - Kevin Lin, Lijuan Wang, Zicheng Liu:
Mesh Graphormer. - Pengliang Ji, Li Ruan, Yunzhi Xue, Limin Xiao, Qian Dong:
Perspective, Survey and Trends: Public Driving Datasets and Toolsets for Autonomous Driving Virtual Test. - Arnulf Jentzen, Adrian Riekert:
A proof of convergence for stochastic gradient descent in the training of artificial neural networks with ReLU activation for constant target functions. - Joshua K. Pickard, Vincent Padois, Milan Hladík, David Daney:
Efficient Set-Based Approaches for the Reliable Computation of Robot Capabilities. - Nicole Spillane:
An abstract theory of domain decomposition methods with coarse spaces of the GenEO family. - Benjamin Shreeve, Joseph Hallett, Matthew Edwards, Kopo M. Ramokapane, Richard Atkins, Awais Rashid:
The best laid plans or lack thereof: Security decision-making of different stakeholder groups. - Luowei Zhou, Jingjing Liu, Yu Cheng, Zhe Gan, Lei Zhang:
CUPID: Adaptive Curation of Pre-training Data for Video-and-Language Representation Learning. - Yang Fu, Sifei Liu, Umar Iqbal, Shalini De Mello, Humphrey Shi, Jan Kautz:
Learning to Track Instances without Video Annotations. - Thamme Gowda, Zhao Zhang, Chris A. Mattmann, Jonathan May:
Many-to-English Machine Translation Tools, Data, and Pretrained Models. - Lucien Haddad, Masahiro Miyakawa, Maurice Pouzet, Hisayuki Tatsumi:
Hereditary rigidity, separation and density In memory of Professor I.G. Rosenberg. - Holden Gordon, Christopher Batula, Bhagyashri Tushir, Behnam Dezfouli, Yuhong Liu:
Securing Smart Homes via Software-Defined Networking and Low-Cost Traffic Classification. - Xiufeng Jiang, Shugong Xu, Shunqing Zhang, Shan Cao:
Arbitrary-Shaped Text Detection withAdaptive Text Region Representation. - Mingxing Tan, Quoc V. Le:
EfficientNetV2: Smaller Models and Faster Training. - Hojung Lee, Jong-Seok Lee:
Students are the Best Teacher: Exit-Ensemble Distillation with Multi-Exits. - Xianjia Yu, Qingqing Li, Jorge Peña Queralta, Jukka Heikkonen, Tomi Westerlund:
Cooperative UWB-Based Localization for Outdoors Positioning and Navigation of UAVs aided by Ground Robots. - Jennifer Jang, Heinrich Jiang:
MeanShift++: Extremely Fast Mode-Seeking With Applications to Segmentation and Object Tracking. - Kao-Yueh Kuo, Ching-Yi Lai:
Log-domain decoding of quantum LDPC codes over binary finite fields. - Dong Yao, Shengyu Zhang, Zhou Zhao, Wenyan Fan, Jieming Zhu, Xiuqiang He, Fei Wu:
Modeling High-order Interactions across Multi-interests for Micro-video Reommendation. - Rongjie Li, Songyang Zhang, Bo Wan, Xuming He:
Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation. - Luoqiu Li, Xiang Chen, Ningyu Zhang, Shumin Deng, Xin Xie, Chuanqi Tan, Mosha Chen, Fei Huang, Huajun Chen:
Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction. - Yan-Bo Lin, Hung-Yu Tseng, Hsin-Ying Lee, Yen-Yu Lin, Ming-Hsuan Yang:
Unsupervised Sound Localization via Iterative Contrastive Learning. - Edoardo Battegazzorre, Andrea Bottino, Fabrizio Lamberti:
Training Medical Communication Skills with Virtual Patients: Literature Review and Directions for Future Research. - Phong Tran, Anh Tran, Quynh Phung, Minh Hoai:
Explore Image Deblurring via Blur Kernel Space. - Yoonhyung Kim, Changick Kim:
Semi-Supervised Domain Adaptation via Selective Pseudo Labeling and Progressive Self-Training. - Matan Levi, Idan Attias, Aryeh Kontorovich:
Domain Invariant Adversarial Learning. - Pengguang Chen, Shu Liu, Jiaya Jia:
Jigsaw Clustering for Unsupervised Visual Representation Learning. - Zhihong Fu, Qingjie Liu, Zehua Fu, Yunhong Wang:
STMTrack: Template-free Visual Tracking with Space-time Memory Networks. - Shintaro Nishi, Takeaki Kadota, Seiichi Uchida:
Famous Companies Use More Letters in Logo: A Large-Scale Analysis of Text Area in Logo.