Papers
The Blessings of Unlabeled Background in Untrimmed Videos
Yuan Liu, Jingyuan Chen, Zhenfang Chen et al.
The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures
Yawei Li, Wen Li, Martin Danelljan et al.
The Lottery Ticket Hypothesis for Object Recognition
Sharath Girish, Shishira R Maiya, Kamal Gupta et al.
The Lottery Tickets Hypothesis for Supervised and Self-Supervised Pre-Training in Computer Vision Models
Tianlong Chen, Jonathan Frankle, Shiyu Chang et al.
The Multi-Temporal Urban Development SpaceNet Dataset
Adam Van Etten, Daniel Hogan, Jesus Martinez Manso et al.
The Neural Tangent Link Between CNN Denoisers and Non-Local Filters
Julian Tachella, Junqi Tang, Mike Davies
There Is More Than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking With Sound by Distilling Multimodal Knowledge
Francisco Rivera Valverde, Juana Valeria Hurtado, Abhinav Valada
The Spatially-Correlative Loss for Various Image Translation Tasks
Chuanxia Zheng, Tat-Jen Cham, Jianfei Cai
The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth
Jamie Watson, Oisin Mac Aodha, Victor Prisacariu et al.
The Translucent Patch: A Physical and Universal Attack on Object Detectors
Alon Zolfi, Moshe Kravchik, Yuval Elovici et al.
Thinking Fast and Slow: Efficient Text-to-Visual Retrieval With Transformers
Antoine Miech, Jean-Baptiste Alayrac, Ivan Laptev et al.
Three Ways To Improve Semantic Segmentation With Self-Supervised Depth Estimation
Lukas Hoyer, Dengxin Dai, Yuhua Chen et al.
Time Adaptive Recurrent Neural Network
Anil Kag, Venkatesh Saligrama
Time Lens: Event-Based Video Frame Interpolation
Stepan Tulyakov, Daniel Gehrig, Stamatios Georgoulis et al.
Topological Planning With Transformers for Vision-and-Language Navigation
Kevin Chen, Junshen K. Chen, Jo Chuang et al.
To the Point: Efficient 3D Object Detection in the Range Image With Graph Convolution Kernels
Yuning Chai, Pei Sun, Jiquan Ngiam et al.
Toward Accurate and Realistic Outfits Visualization With Attention to Details
Kedan Li, Min Jin Chong, Jeffrey Zhang et al.
Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation
Yunhang Shen, Liujuan Cao, Zhiwei Chen et al.
Towards Accurate 3D Human Motion Prediction From Incomplete Observations
Qiongjie Cui, Huaijiang Sun
Towards Accurate Text-Based Image Captioning With Content Diversity Exploration
Guanghui Xu, Shuaicheng Niu, Mingkui Tan et al.
Towards Bridging Event Captioner and Sentence Localizer for Weakly Supervised Dense Event Captioning
Shaoxiang Chen, Yu-Gang Jiang
Towards Compact CNNs via Collaborative Compression
Yuchao Li, Shaohui Lin, Jianzhuang Liu et al.
Towards Diverse Paragraph Captioning for Untrimmed Videos
Yuqing Song, Shizhe Chen, Qin Jin
Towards Efficient Tensor Decomposition-Based DNN Model Compression With Optimization Framework
Miao Yin, Yang Sui, Siyu Liao et al.