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02/09/2023
ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills
Generalizable manipulation skills, which can be composed to tackle long-...
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09/15/2022
Automatic Error Analysis for Document-level Information Extraction
Document-level information extraction (IE) tasks have recently begun to ...
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09/06/2022
Multi-skill Mobile Manipulation for Object Rearrangement
We study a modular approach to tackle long-horizon mobile manipulation t...
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01/28/2022
Close the Visual Domain Gap by Physics-Grounded Active Stereovision Depth Sensor Simulation
In this paper, we focus on the simulation of active stereovision depth s...
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01/19/2021
Deep Feedback Inverse Problem Solver
We present an efficient, effective, and generic approach towards solving...
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12/04/2020
Compositionally Generalizable 3D Structure Prediction
Single-image 3D shape reconstruction is an important and long-standing p...
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10/26/2020
Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals
We study how to learn a policy with compositional generalizability. We p...
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10/26/2020
Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous Graph Neural Networks
Current graph neural networks (GNNs) lack generalizability with respect ...
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08/20/2020
Weakly-supervised 3D Shape Completion in the Wild
3D shape completion for real data is important but challenging, since pa...
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09/30/2019
Multi-view PointNet for 3D Scene Understanding
Fusion of 2D images and 3D point clouds is important because information...
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10/28/2018
Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation
It is widely believed that learning good representations is one of the m...
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03/19/2018
Learning Region Features for Object Detection
While most steps in the modern object detection methods are learnable, t...
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11/30/2017