Papers
How Do Neural Networks See Depth in Single Images?
Tom van Dijk, Guido de Croon
HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips
Antoine Miech, Dimitri Zhukov, Jean-Baptiste Alayrac et al.
Human Attention in Image Captioning: Dataset and Analysis
Sen He, Hamed R. Tavakoli, Ali Borji et al.
Human-Aware Motion Deblurring
Ziyi Shen, Wenguan Wang, Xiankai Lu et al.
Human Mesh Recovery From Monocular Images via a Skeleton-Disentangled Representation
Yu Sun, Yun Ye, Wu Liu et al.
Human Motion Prediction via Spatio-Temporal Inpainting
Alejandro Hernandez, Jurgen Gall, Francesc Moreno-Noguer
Human Uncertainty Makes Classification More Robust
Joshua C. Peterson, Ruairidh M. Battleday, Thomas L. Griffiths et al.
Hyperpixel Flow: Semantic Correspondence With Multi-Layer Neural Features
Juhong Min, Jongmin Lee, Jean Ponce et al.
Hyperspectral Image Reconstruction Using Deep External and Internal Learning
Tao Zhang, Ying Fu, Lizhi Wang et al.
Identity From Here, Pose From There: Self-Supervised Disentanglement and Generation of Objects Using Unlabeled Videos
Fanyi Xiao, Haotian Liu, Yong Jae Lee
IL2M: Class Incremental Learning With Dual Memory
Eden Belouadah, Adrian Popescu
Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?
Rameen Abdal, Yipeng Qin, Peter Wonka
Image Generation From Small Datasets via Batch Statistics Adaptation
Atsuhiro Noguchi, Tatsuya Harada
Image Inpainting With Learnable Bidirectional Attention Maps
Chaohao Xie, Shaohui Liu, Chao Li et al.
Image Synthesis From Reconfigurable Layout and Style
Wei Sun, Tianfu Wu
Imitation Learning for Human Pose Prediction
Borui Wang, Ehsan Adeli, Hsu-kuang Chiu et al.
IMP: Instance Mask Projection for High Accuracy Semantic Segmentation of Things
Cheng-Yang Fu, Tamara L. Berg, Alexander C. Berg
Implicit Surface Representations As Layers in Neural Networks
Mateusz Michalkiewicz, Jhony K. Pontes, Dominic Jack et al.
Improved Conditional VRNNs for Video Prediction
Lluis Castrejon, Nicolas Ballas, Aaron Courville
Improved Techniques for Training Adaptive Deep Networks
Hao Li, Hong Zhang, Xiaojuan Qi et al.
Improving Adversarial Robustness via Guided Complement Entropy
Hao-Yun Chen, Jhao-Hong Liang, Shih-Chieh Chang et al.
Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-Scale Attribute-Specific Localization
Chufeng Tang, Lu Sheng, Zhaoxiang Zhang et al.
Incremental Class Discovery for Semantic Segmentation With RGBD Sensing
Yoshikatsu Nakajima, Byeongkeun Kang, Hideo Saito et al.
Incremental Learning Using Conditional Adversarial Networks
Ye Xiang, Ying Fu, Pan Ji et al.