95 citations · 502 across the 34 of their papers we have counts for
10 papers · 1 filter
SENSE: a Shared Encoder Network for Scene-flow Estimation
Huaizu Jiang, Deqing Sun, Varun Jampani +3
We introduce a compact network for holistic scene flow estimation, called SENSE, which shares common encoder features among four closely-related tasks: optical flow estimation, dis…
Joint-task Self-supervised Learning for Temporal Correspondence
Xueting Li, Sifei Liu, Shalini De Mello +3
This paper proposes to learn reliable dense correspondence from videos in a self-supervised manner. Our learning process integrates two highly related tasks: tracking large image r…
Learning Propagation for Arbitrarily-structured Data
Sifei Liu, Xueting Li, Varun Jampani +2
Processing an input signal that contains arbitrary structures, e.g., superpixels and point clouds, remains a big challenge in computer vision. Linear diffusion, an effective model…
Video Stitching for Linear Camera Arrays
Wei-Sheng Lai, Orazio Gallo, Jinwei Gu +3
Despite the long history of image and video stitching research, existing academic and commercial solutions still produce strong artifacts. In this work, we propose a wide-baseline…
Unsupervised Video Interpolation Using Cycle Consistency
Fitsum A. Reda, Deqing Sun, Aysegul Dundar +6
Learning to synthesize high frame rate videos via interpolation requires large quantities of high frame rate training videos, which, however, are scarce, especially at high resolut…
SCOPS: Self-Supervised Co-Part Segmentation
Wei-Chih Hung, Varun Jampani, Sifei Liu +3
Parts provide a good intermediate representation of objects that is robust with respect to the camera, pose and appearance variations. Existing works on part segmentation is domina…
Few-Shot Viewpoint Estimation
Hung-Yu Tseng, Shalini De Mello, Jonathan Tremblay +4
Viewpoint estimation for known categories of objects has been improved significantly thanks to deep networks and large datasets, but generalization to unknown categories is still v…
Few-Shot Adaptive Gaze Estimation
Seonwook Park, Shalini De Mello, Pavlo Molchanov +3
Inter-personal anatomical differences limit the accuracy of person-independent gaze estimation networks. Yet there is a need to lower gaze errors further to enable applications req…
Pixel-Adaptive Convolutional Neural Networks
Hang Su, Varun Jampani, Deqing Sun +3
Convolutions are the fundamental building block of CNNs. The fact that their weights are spatially shared is one of the main reasons for their widespread use, but it also is a majo…
Putting Humans in a Scene: Learning Affordance in 3D Indoor Environments
Xueting Li, Sifei Liu, Kihwan Kim +3
Affordance modeling plays an important role in visual understanding. In this paper, we aim to predict affordances of 3D indoor scenes, specifically what human poses are afforded by…