Jinlong Peng
Scholar

Jinlong Peng

Google Scholar ID: i5I-cIEAAAAJ
Tencent Youtu Lab
Computer VisionDeep Learning
Citations & Impact
All-time
Citations
1,272
 
H-index
14
 
i10-index
23
 
Publications
20
 
Co-authors
7
list available
Resume (English only)
Academic Achievements
  • UniCombine: Unified Multi-Conditional Combination with Diffusion Transformer, ICCV 2025
  • DualAnoDiff: Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation, CVPR 2025
  • MM-Tracker: Motion Mamba with Margin Loss for UAV-platform Multiple Object Tracking, AAAI 2025
  • Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection, ECCV 2024
  • UniM-OV3D: Uni-Modality Open-Vocabulary 3D Scene Understanding with Fine-Grained Feature Representation, IJCAI 2024
  • FRIH: Fine-grained Region-aware Image Harmonization, AAAI 2024
  • Toward High Quality Facial Representation Learning, ACM MM 2023
  • Multimodal Industrial Anomaly Detection via Hybrid Fusion, CVPR 2023
  • SiamRCR: Reciprocal Classification and Regression for Visual Object Tracking, IJCAI 2021
  • Delving into the Cyclic Mechanism in Semi-supervised Video Object Segmentation, NeurIPS 2020
  • Dense Scene Multiple Object Tracking with Box-Plane Matching, ACM MM 2020
  • Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Tracking, ECCV, Spotlight 2020
  • TPM: Multiple Object Tracking with Tracklet-plane Matching, Pattern Recognition 2020
Research Experience
  • Currently a Senior Researcher at Tencent Youtu Lab.
Education
  • Received a bachelor's degree in 2016 and a master's degree in 2019 from Shanghai Jiao Tong University, advised by Prof. Weiyao Lin.
Background
  • Research interests include AIGC, image editing, multiple object tracking, detection, segmentation, and anomaly detection. Currently a Senior Researcher at Tencent Youtu Lab.
Miscellany
  • Looking for highly motivated interns working on exciting computer vision projects based in Shanghai. If interested, please send an email to jeromepeng@tencent.com.