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34. Elected as Fellow of CAE 2024,
link, 5/6/2024.
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33. Will be a Program Chair for ICCV 2025, 03/2024.
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32. Group DETR: Fast DETR Training with Group-Wise One-to-Many Assignment.
[pdf]
[code]
Accepted by ICCV, 07/2023
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31. Context Autoencoder for Self-Supervised Representation Learning.
[IJCV]
[pdf]
[code]
Superior over MAE and BEiT, 07/2022.
Accepted by IJCV, 07/2023
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|
30. Understanding Self-Supervised Pretraining with Part-Aware Representation Learning.
[pdf]
[code]
Accepted by TMLR, 07/2023
|
|
29. Group DETR v2: Strong Object Detector with Encoder-Decoder Pretraining.
[pdf]
Group DETR v2 achieves 64.5 mAP on COCO test-dev, and establishes a new SoTA on
the COCO leaderboard .
11/8/2022
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|
28. Transformer does not outperform CNN: On the Connection between Local Attention and Dynamic Depth-wise Convolution.
[pdf]
[code].
ICLR 2022 spotlight. 03/2022
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27. People of ACM interview: URL 12/2021.
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26. Elected as Fellow of IEEE, for his contributions to visual content understanding and retrieval, 11/2021.
|
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25. Code released for our NeurIPS 2021 paper,
HRFormer: High-Resolution Transformer for Dense Prediction.
[pdf]
code. 09/2021
|
|
24. Code released for our NeurIPS 2021 paper,
SPANN: Highly-efficient Billion-scale ApproximateNearest Neighbor Search.
[pdf]
code. 09/2021
|
|
23. Code released for our ICCV 2021 paper,
Conditional DETR for Fast Training Convergence.
[pdf]
code. 8/16/2021
|
|
22. Local Transformer attention is equivalent to inhomogeneous
dynamic depth-wise convolution:
Demystifying local attention. 7/2021
|
|
21. Welcome to the large scale approximate nearest search challenge at NeurIPS 2021:
Big ANN Benchmark. 5/2021
|
|
20. HRNet is shipped to Form Recognizer
for Table Recognition. 5/2021
|
|
19. Update object-contextual representation for semantic segmentation (ECCV 2020).
We rephrase it as Segmentation Transformer.
[pdf]
code. 5/4/2021
|
|
18. Code released for our CVPR 2021 paper,
Lite-HRNet: A Lightweight High-Resolution Network.
[pdf]
code. 4/12/2021
|
|
17. Code released for our CVPR 2021 paper,
Bottom-Up Human Pose Estimation via Disentangled Keypoint Regression.
[pdf]
code. 4/7/2021
|
|
16. HRNet: Deep High-Resolution Representation Learning for Visual Recognition. Accepted by TPAMI.
[pdf] or [pdf at arXiv].
This is a longer version of the HRNet paper published in CVPR 2019.
HRNet is a stronger backbone, and acheives superior performance
on human pose estimation, semantic segmentation, object detection, face alignment, and so on.
Codes are available:
[HRNet for human pose estimation],
[HRNet for segmentation, detection, face alignment].
|
|
15. HRNet + OCR + SegFix is ranked 1 on cityscapes segmentation. Cityscapes segmentation leaderboard (January2020).
The implementation of HRNet + OCR is available: code
|
|
14. Invited as an area chair of CVPR 2020, ECCV 2020, and IJCAI 2020.
|
|
13. HRNet + OCR is ranked 1 on cityscapes segmentation. Cityscapes segmentation leaderboard (July 2019).
|
|
12. High-Resolution Network (HRNet). A replacement of classification networks for visual recognition. projects page.
|
|
11. Fast neighborhood graph-based approximate nearest neighbor search: code
.
Bing vector search.
TechCrunch.
|
|
10. Invited as an area chair of ICCV 2019, and IJCAI 2019.
|
|
9. Elected as an ACM Distinguished Member, 11/2018.
|
|
8. Gave a keynote talk about approximate nearest neighbor search on 9/29/2018 at JD.com.
slides
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|
7. Second place entry, COCO keypoints detection challenge ECCV 2018.
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6. Appointed as AE of TPAMI, 09/2018.
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5. Elected as Fellow of IAPR 2018.
|
|
4. One paper is accepted by ECCV 2018.
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3. Two papers are accepted by ACM MM 2018.
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2. Three papers are accepted by CVPR 2018.
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1. Appointed as AE of TCSVT, 01/2018.
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