115 citations · 596 across the 36 of their papers we have counts for
5 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…
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…
Gated-SCNN: Gated Shape CNNs for Semantic Segmentation
Towaki Takikawa, David Acuna, Varun Jampani +1
Current state-of-the-art methods for image segmentation form a dense image representation where the color, shape and texture information are all processed together inside a deep CN…
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…
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…