553 citations · 3.5k across the 54 of their papers we have counts for
56 papers
Siamese Masked Autoencoders
Agrim Gupta, Jiajun Wu, Jia Deng +1
Establishing correspondence between images or scenes is a significant challenge in computer vision, especially given occlusions, viewpoint changes, and varying object appearances.…
Generating Natural Language Proofs with Verifier-Guided Search
Kaiyu Yang, Jia Deng, Danqi Chen
Reasoning over natural language is a challenging problem in NLP. In this work, we focus on proof generation: Given a hypothesis and a set of supporting facts, the model generates a…
Learning Symbolic Rules for Reasoning in Quasi-Natural Language
Kaiyu Yang, Jia Deng
Symbolic reasoning, rule-based symbol manipulation, is a hallmark of human intelligence. However, rule-based systems have had limited success competing with learning-based systems…
Non-deep Networks
Ankit Goyal, Alexey Bochkovskiy, Jia Deng +1
Depth is the hallmark of deep neural networks. But more depth means more sequential computation and higher latency. This begs the question -- is it possible to build high-performin…
RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching
Lahav Lipson, Zachary Teed, Jia Deng
We introduce RAFT-Stereo, a new deep architecture for rectified stereo based on the optical flow network RAFT. We introduce multi-level convolutional GRUs, which more efficiently p…
DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras
Zachary Teed, Jia Deng
We introduce DROID-SLAM, a new deep learning based SLAM system. DROID-SLAM consists of recurrent iterative updates of camera pose and pixelwise depth through a Dense Bundle Adjustm…