activity
20142023
most citedAssociative Embedding: End-to-End Learning for Joint Detection and Grouping

553 citations · 3.5k across the 54 of their papers we have counts for

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Showing 2020Show all

10 papers · 1 filter

cs.CV2020★ 4 cited

Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D

Ankit Goyal, Kaiyu Yang, Dawei Yang +1

Understanding spatial relations (e.g., "laptop on table") in visual input is important for both humans and robots. Existing datasets are insufficient as they lack large-scale, high…

cs.CV2020★ 5 cited

RAFT-3D: Scene Flow using Rigid-Motion Embeddings

Zachary Teed, Jia Deng

We address the problem of scene flow: given a pair of stereo or RGB-D video frames, estimate pixelwise 3D motion. We introduce RAFT-3D, a new deep architecture for scene flow. RAFT…

cs.CL2020★ 18 cited

Strongly Incremental Constituency Parsing with Graph Neural Networks

Kaiyu Yang, Jia Deng

Parsing sentences into syntax trees can benefit downstream applications in NLP. Transition-based parsers build trees by executing actions in a state transition system. They are com…

cs.CV2020

A Unified Framework of Surrogate Loss by Refactoring and Interpolation

Lanlan Liu, Mingzhe Wang, Jia Deng

We introduce UniLoss, a unified framework to generate surrogate losses for training deep networks with gradient descent, reducing the amount of manual design of task-specific surro…

cs.CV2020★ 1 cited

OASIS: A Large-Scale Dataset for Single Image 3D in the Wild

Weifeng Chen, Shengyi Qian, David Fan +3

Single-view 3D is the task of recovering 3D properties such as depth and surface normals from a single image. We hypothesize that a major obstacle to single-image 3D is data. We ad…

cs.LG2020★ 2 cited

PackIt: A Virtual Environment for Geometric Planning

Ankit Goyal, Jia Deng

The ability to jointly understand the geometry of objects and plan actions for manipulating them is crucial for intelligent agents. We refer to this ability as geometric planning.…