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Information Processing Lab
Information Processing Lab
University of Washington Seattle, WA
Main research thrust of our current work is in the multimedia signal processing, multimedia networking and machine learning areas. A specific focus is on the large scale smart camera networks analytics and networking. The research group works under the guidance of Prof. Jenq-Neng Hwang.
News
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2025/8/08
Our paper "UniHPR: Unified Human Pose Representation via Singular Value Contrastive Learning" received the IEEE MIPR 2025 Best Paper Award. Congrats to Zhongyu!

- 2025/6/30 Our team won the 1st place of the 2025 AI City Challenge-Track 3: Warehouse Spatial Intelligence. Congrats to the team!
- 2025/6/30 One paper has been accepted for oral presentation by IROS 2025!
- 2025/5/20 One paper has been accepted for presentation at IEEE MIPR 2025!
- 2025/5/19 One paper has been accepted for presentation at IEEE AVSS 2025!
- 2025/3/22 One paper has been accepted for presentation at IEEE ICME 2025!
- 2025/3/19 Zhongyu successfully defended his Ph.D. thesis: "Towards Robust and Effective Human Pose Estimation and Generation" today. Congratulation! Dr. Jiang! πππ
- 2025/2/26 Three papers has been accepted for presentation at IEEE CVPR 2025! Congratulation to the authors!
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2024/10/07
Our team won the 1st place of ICPR 2024 Multi-Modal Visual Pattern Recognition Challenge-Track 1: Tracking. Congrats to the team!

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2024/6/30
Our team won the 3rd place of the IEEE Computational Intelligence in Biomedicine and Healthcare (CIS) Competition 2024. Congrats to the team!

- 2024/6/06 A paper has been accepted for presentation at IEEE ICIP 2024! Congratulation to Andy!
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2024/6/04
Jie successfully defended his Ph.D. thesis: "Continual Learning of Object Classification in the Real World" today. Congratulation! Dr. Mei! πππ

- 2024/3/30 Two papers have been accepted for presentation at IEEE IV 2024! Congratulation to Sheng Yao and Andy!
- 2024/3/28 Check out Professor Jenq-Neng Hwang's latest interview on AI innovation: tackling the challenge of training algorithms with limited data, his team at the University of Washington is pioneering methods to enhance AI's learning curve, from monitoring baby poses to diagnosing rare diseases.
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2024/1/07
Our team representing the UWIPL is the Winner of both UAV-based Multi-Object Tracking with Reidentification and USV-based Multi-Object Tracking track at the 2nd Workshop on Maritime Computer Vision (MaCVi) in WACV.
- 2023/12/16 Three papers have been accepted for presentation at IEEE ICASSP 2024! Congratulation to Chris, Zhongyu and Jie!
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2023/11/18
SLVP: Self-supervised Language-Video Pre-training for Referring Video Object Segmentation was accepted by the WACV 2024 - 2nd Workshop on Pretraining! Congratulation to Jie!

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2023/10/25
Back to Optimization: Diffusion-based Zero-Shot 3D Human Pose Estimation was accepted by the WACV 2024! Congratulation to Zhongyu!

- 2023/06/21 Three papers have been accepted for presentation at IEEE ICIP 2023!
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2023/06/19
Our team representing the UW-ETRI is the Winner of Track 1 (Multi-Camera People Tracking) at the AI City Challenge in CVPR 2023.

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2022/12/07
Haotian successfully defended his Ph.D. thesis: "Inferring the 3D Information from the Outside World Using Monocular Cameras" today. Congratulation! Dr. Zhang! πππ
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2022/12/06
Yizhou successfully defended his Ph.D. thesis: "Object 3D Perception via Camera-Radar Cross-Modality Learning for Autonomous Driving" today. Congratulation! Dr. Wang! πππ
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2022/12/06
We welcome everyone to join the three guest lectures presented by Professor Ming-Hsuan Yang, please refer to the posters for more info!
- 2022/11/17 Observation Centric and Central Distance Recovery for Athlete Tracking has been accepted for presentation at the 2nd Workshop on Computer Vision for Winter Sports held in conjunction with WACV 2023! Congratulation to Hsiang-Wei and Chris!
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2022/10/23
Our team won the 3rd place of the SportsMOT Track of DeeperAction Challenge at ECCV 2022! Congraulations to Hsiang-Wei, Chris and Dr.Kim!

- 2022/10/10 CameraPose: Weakly-Supervised In-the-wild 3D Human Pose Estimation from a Single Image was accepted by the WACV 2023! Congratulation to Chris!
- 2022/10/10 HuPR: A Benchmark for Human Pose Estimation Using Millimeter Wave Radar was accepted by the WACV 2023! Congratulation to Robert!
- 2022/10/08 Haotian has been selected as one of the Young Scholar Award recipients for this year's NeurIPS! Congratulation!
- 2022/09/14 GLIPv2: Unifying Localization and Vision-Language Understanding was accepted by the NeurIPS 2022 (25.6% acceptance rate)! Congratulation to Haotian!!!
- 2022/06/21 Grounded Language-Image Pre-training was selected as the one of the 33 finalists for the Best Paper Award at CVPR 2022!
- 2022/06/20 GaitTAKE: Gait Recognition by Temporal Attention and Keypoint-guided Embedding was accepted by the IEEE International Conference on Image Processing! Congratulation to Dr.Hsu, Yizhou and Chris!
- 2022/06/20 HCIL: Hierarchical Class Incremental Learning for Longline Fishing Visual Monitoring was accepted by the IEEE International Conference on Image Processing! Congratulation to Jie!
- 2022/06/03 Jiarui successfully defended her Ph.D. thesis: "Towards visual recognition in the wild." today! Congratulations to Dr.Cai π©π»βπ! ππππππππππππ
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2022/05/23
We'll like share the news that IEEE MMSP 2022, which will be held on September 26β28, 2022 in Shanghai, China is now calling for paper!

- 2022/05/16 We are pleased to share the news the the Data Scientist/AI/ML position (The DE and MAP announcements for the Interdisciplinary Computer Scientist/Physical Scientist/Fish Biologist, ZP-1550/1301/0482-3/4) in the FATES Advanced Tech Branch has been posted. The announcements will be open for 14- days, from 05/17/22 to 05/30/22, please refer to the links for additional info!
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2022/04/25
Unsupervised Severely Deformed Mesh Reconstruction (DMR) from a Single-View Image for Longline Fishing was accepted by the IEEE ICME 2022 Workshop on 3D Multimedia Analytics, Search and Generation (3DMM)! Congratulation to Jie!

- 2022/04/25 GolfPose: Golf Swing Analyses with A Monocular Camera based Human Pose Estimation was accepted by the IEEE ICME 2022: The 3rd Artificial Intelligence in Sports (AI-Sports) Workshop! Congratulation to Zhongyu and Haorui!
- 2022/03/06 Unsupervised Domain Adaptation Learning for Infant Pose Recognition with Synthetic Data was accepted by the IEEE ICME 2022 (29% acceptance rate)! Congratulation to Chris and Zhongyu!
- 2022/03/02 Grounded Language-Image Pre-training was accepted by the CVPR 2022 (25.33% acceptance rate)! Congratulation to Haotian!
- 2021/12/01 LUNA: Localizing Unfamiliarity Near Acquaintance for Open-set Long-Tailed Recognition was accepted by the AAAI 2022 (15% acceptance rate)! Congratulation to Jiarui, Yizhou and Hung-Min!
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2021/10/17
Our team is the πwinner of Video Track (in both MOTChallenge-STEP and KITTI-STEP dataset) in the
6th BMTT Challenge (in conjunction with ICCV 2021)!


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2021/10/16
Our team won the π₯3rd place of Camera-View Track in the
ICCV 2021 Multi-camera Multiple People Tracking Workshop !


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2021/09/09 Professor Hwang will be the guest editor for a special issue: "Deep Learning from Multi-Sourced Data" for Applied Sciences. Welcome to submitted original research, applications, and review articles in all areas related to learning from multi-souced data!
- 2021/08/09 Li Chen successfully defended his Ph.D. thesis today. Congratulations to Dr. Chen! πππ
- 2021/07/22 Two papers from IPL: ACE: Ally Complementary Experts for Solving Long-Tailed Recognition in One-Shot (Oral) and Track without Appearance: Learn Box and Tracklet Embedding with Local and Global Motion Patterns for Vehicle Tracking were accepted and select as oral by the ICCV 2021! Congratuations Jiarui and Gaoang!
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2021/03/22
We won the Honorable Mention Award in NTIRE 2021 Challenge on Multi-modal Aerial View Object Classification (in conjunction with CVPR 2021)!

- 2021/01/01 We are organizing the Radar Object Detection Challenge (ROD2021) at ACM ICMR 2021. Welcome your participation! [Challenge Website] [Registration & Leaderboard]
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2020/06/11
Our team is the winner of track 3 (multi-object tracking and segmentation in KITTI-MOTS and MOTS20 dataset with public detection)
and the runner-up of track 2 (multi-object detection, tracking and segmentation in KITTI-MOTS dataset) in the
5th BMTT Challenge in CVPR 2020 workshop. [Details...]

- 2020/06/05 Renshu Gu successfully defended her Ph.D. thesis today. Congratulations to Dr. Gu! πππ
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2020/05/04
Li Chen and his colleagues in Vascular Imaging Laboratory won the competition for artificial intelligence research by American Heart Association and Amazon Web Services through a collaborative data grant initiative (Automated Vessel Wall Screening to Predict Cardiovascular Risk) funded by AHA. Congatulations, Li!
UW Daily News Media Cover -
2019/10/25
Three papers from IPL:
Eye in the Sky: Drone-Based Object Tracking and 3D Localization,
Monocular Visual Object 3D Localization in Road Scenes
,
Exploit the connectivity: Multi-object tracking with trackletnet are accepted as orals in
ACM MultiMedia 2019.
Congratuations Haotian, Yizhou and Gaoang! π
Eye in the Sky Object 3D Localization TrackletNet -
2019/06/16
Our team representing the University of Washington is the Winner of Track 1 (City-Scale Multi-Camera Vehicle Tracking) and the Runner-up of Track 2 (City-Scale Multi-Camera Vehicle Re-Identification) and Track 3 (Traffic Anomaly Detection) at the AI City Challenge in CVPR 2019.
[Details...]
UWECE News - 2019/06/15 Three Ph.D. graduate from our lab this year. Congratulations to Dr. Tang, Dr. Wang, and Dr. Huang! πππ
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2019/04/01
Professor Hwang is interviewed by The Wall Street Journal.
[Full Text]
WSJ Article -
2018/06/18
Our team representing the University of Washington is the Winner of Track 1 (Traffic Flow Analysis) and the Winner of Track 3 (Multi-camera Vehicle Detection and Reidentification) at the AI City Challenge Workshop at CVPR 2018.
[Details...]
Paper Code Track1 Demo Track3 Demo UWEE News -
2017/08/05
Our group is the Winner of Track 2 (AI City Applications Track) at the 2017 IEEE Smart World NVIDIA AI City Challenge.
[Details...]
Nvidia Blog