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20182023
most citedDeformable Kernels: Adapting Effective Receptive Fields for Object Deformation

35 citations · 54 across the 6 of their papers we have counts for

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6 papers · 1 filter

cs.CV2023

Information Theory-Guided Heuristic Progressive Multi-View Coding

Jiangmeng Li, Hang Gao, Wenwen Qiang +1

Multi-view representation learning aims to capture comprehensive information from multiple views of a shared context. Recent works intuitively apply contrastive learning to differe…

cs.CV2023

NerfAcc: Efficient Sampling Accelerates NeRFs

Ruilong Li, Hang Gao, Matthew Tancik +1

Optimizing and rendering Neural Radiance Fields is computationally expensive due to the vast number of samples required by volume rendering. Recent works have included alternative…

cs.CV20208 cited

Long-term Human Motion Prediction with Scene Context

Zhe Cao, Hang Gao, Karttikeya Mangalam +3

Human movement is goal-directed and influenced by the spatial layout of the objects in the scene. To plan future human motion, it is crucial to perceive the environment -- imagine…

cs.CV201935 cited

Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation

Hang Gao, Xizhou Zhu, Steve Lin +1

Convolutional networks are not aware of an object's geometric variations, which leads to inefficient utilization of model and data capacity. To overcome this issue, recent works on…

cs.CV2018

Disentangling Propagation and Generation for Video Prediction

Hang Gao, Huazhe Xu, Qi-Zhi Cai +3

A dynamic scene has two types of elements: those that move fluidly and can be predicted from previous frames, and those which are disoccluded (exposed) and cannot be extrapolated.…

cs.CV2018

AutoLoc: Weakly-supervised Temporal Action Localization

Zheng Shou, Hang Gao, Lei Zhang +2

Temporal Action Localization (TAL) in untrimmed video is important for many applications. But it is very expensive to annotate the segment-level ground truth (action class and temp…