1 code implementation • 23 Mar 2023 • Todd C. Hollon, Cheng Jiang, Asadur Chowdury, Mustafa Nasir-Moin, Akhil Kondepudi, Alexander Aabedi, Arjun Adapa, Wajd Al-Holou, Jason Heth, Oren Sagher, Pedro Lowenstein, Maria Castro, Lisa Irina Wadiura, Georg Widhalm, Volker Neuschmelting, David Reinecke, Niklas von Spreckelsen, Mitchel S. Berger, Shawn L. Hervey-Jumper, John G. Golfinos, Matija Snuderl, Sandra Camelo-Piragua, Christian Freudiger, Honglak Lee, Daniel A. Orringer
Molecular classification has transformed the management of brain tumors by enabling more accurate prognostication and personalized treatment.
no code implementations • 2 Mar 2023 • Cheng Jiang, Xinhai Hou, Akhil Kondepudi, Asadur Chowdury, Christian W. Freudiger, Daniel A. Orringer, Honglak Lee, Todd C. Hollon
Importantly, sampled patches from WSIs of a patient's tumor are a diverse set of image examples that capture the same underlying cancer diagnosis.
1 code implementation • 6 Feb 2023 • Yutao Cui, Cheng Jiang, Gangshan Wu, LiMin Wang
Our core design is to utilize the flexibility of attention operations, and propose a Mixed Attention Module (MAM) for simultaneous feature extraction and target information integration.
Ranked #1 on
Visual Object Tracking
on LaSOT
no code implementations • 16 Jun 2022 • Cheng Jiang, Asadur Chowdury, Xinhai Hou, Akhil Kondepudi, Christian W. Freudiger, Kyle Conway, Sandra Camelo-Piragua, Daniel A. Orringer, Honglak Lee, Todd C. Hollon
Here, we present OpenSRH, the first public dataset of clinical SRH images from 300+ brain tumors patients and 1300+ unique whole slide optical images.
no code implementations • 14 Apr 2022 • Jianye Pang, Cheng Jiang, Yihao Chen, Jianbo Chang, Ming Feng, Renzhi Wang, Jianhua Yao
Therefore, designing an elegant and efficient vision transformer learner for dense prediction in medical volume is promising and challenging.
1 code implementation • CVPR 2022 • Yutao Cui, Cheng Jiang, LiMin Wang, Gangshan Wu
Our core design is to utilize the flexibility of attention operations, and propose a Mixed Attention Module (MAM) for simultaneous feature extraction and target information integration.
Ranked #4 on
Visual Object Tracking
on GOT-10k
Semi-Supervised Video Object Segmentation
Visual Object Tracking
no code implementations • 9 Aug 2021 • Zhuoyi Zhang, Cheng Jiang, Xiya Zhong, Chang Song, Yifeng Zhang
Face anti-spoofing is an important task to protect the security of face recognition.
no code implementations • 8 Aug 2021 • Cheng Jiang, Abhishek Bhattacharya, Joseph Linzey, Rushikesh S. Joshi, Sung Jik Cha, Sudharsan Srinivasan, Daniel Alber, Akhil Kondepudi, Esteban Urias, Balaji Pandian, Wajd Al-Holou, Steve Sullivan, B. Gregory Thompson, Jason Heth, Chris Freudiger, Siri Khalsa, Donato Pacione, John G. Golfinos, Sandra Camelo-Piragua, Daniel A. Orringer, Honglak Lee, Todd Hollon
Conclusion: SRH with trained artificial intelligence models can provide rapid and accurate intraoperative analysis of skull base tumor specimens to inform surgical decision-making.
1 code implementation • 1 Apr 2021 • Yutao Cui, Cheng Jiang, LiMin Wang, Gangshan Wu
Accurate tracking is still a challenging task due to appearance variations, pose and view changes, and geometric deformations of target in videos.
Ranked #1 on
Visual Object Tracking
on VOT2019
no code implementations • 24 Nov 2020 • Cheng Jiang, Jun Liao, Pei Dong, Zhaoxuan Ma, De Cai, Guoan Zheng, Yueping Liu, Hong Bu, Jianhua Yao
Artificial Intelligence (AI)-powered pathology is a revolutionary step in the world of digital pathology and shows great promise to increase both diagnosis accuracy and efficiency.
2 code implementations • 15 Apr 2020 • Yutao Cui, Cheng Jiang, Li-Min Wang, Gangshan Wu
To tackle this issue, we present the fully convolutional online tracking framework, coined as FCOT, and focus on enabling online learning for both classification and regression branches by using a target filter based tracking paradigm.