no code implementations • 22 Apr 2024 • Supreeth Narasimhaswamy, Huy Anh Nguyen, Lihan Huang, Minh Hoai
We address the challenging task of identifying, segmenting, and tracking hand-held objects, which is crucial for applications such as human action segmentation and performance evaluation.
no code implementations • 4 Mar 2024 • Supreeth Narasimhaswamy, Uttaran Bhattacharya, Xiang Chen, Ishita Dasgupta, Saayan Mitra, Minh Hoai
To generate images with realistic hands, we propose a novel diffusion-based architecture called HanDiffuser that achieves realism by injecting hand embeddings in the generative process.
1 code implementation • CVPR 2022 • Supreeth Narasimhaswamy, Thanh Nguyen, Mingzhen Huang, Minh Hoai
We also introduce a new challenging dataset called BodyHands containing unconstrained images with hand and their corresponding body locations annotations.
1 code implementation • CVPR 2022 • Mingzhen Huang, Supreeth Narasimhaswamy, Saif Vazir, Haibin Ling, Minh Hoai
The first stage is Forward Propagation, where the features from frame t-1 are propagated to frame t based on previously detected hands and their estimated motion.
Ranked #1 on Multiple Object Tracking on YouTube-Hands (using extra training data)
no code implementations • NeurIPS 2020 • Supreeth Narasimhaswamy, Trung Nguyen, Minh Hoai
The first attention mechanism is based on the hand and a region's affinity, enclosing the hand and the object, and densely pools features from this region to the hand region.
1 code implementation • ICCV 2019 • Supreeth Narasimhaswamy, Zhengwei Wei, Yang Wang, Justin Zhang, Minh Hoai
We also conduct ablation studies on hand detection to show the effectiveness of the proposed contextual attention module.