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07/05/2022
3D Part Assembly Generation with Instance Encoded Transformer
It is desirable to enable robots capable of automatic assembly. Structur...
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10/14/2021
Self-Supervised Learning by Estimating Twin Class Distributions
We present TWIST, a novel self-supervised representation learning method...
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06/30/2021
SOLO: A Simple Framework for Instance Segmentation
Compared to many other dense prediction tasks, e.g., semantic segmentati...
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12/31/2020
TransTrack: Multiple-Object Tracking with Transformer
Multiple-object tracking(MOT) is mostly dominated by complex and multi-s...
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11/25/2020
Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
We present Sparse R-CNN, a purely sparse method for object detection in ...
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11/18/2020
Dense Contrastive Learning for Self-Supervised Visual Pre-Training
To date, most existing self-supervised learning methods are designed and...
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03/26/2020
Mask Encoding for Single Shot Instance Segmentation
To date, instance segmentation is dominated by twostage methods, as pion...
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03/23/2020
SOLOv2: Dynamic, Faster and Stronger
In this work, we aim at building a simple, direct, and fast instance seg...
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09/13/2019