110 citations · 420 across the 55 of their papers we have counts for
8 papers · 1 filter
HiFiHR: Enhancing 3D Hand Reconstruction from a Single Image via High-Fidelity Texture
Jiayin Zhu, Zhuoran Zhao, Linlin Yang +1
We present HiFiHR, a high-fidelity hand reconstruction approach that utilizes render-and-compare in the learning-based framework from a single image, capable of generating visually…
Opening the Vocabulary of Egocentric Actions
Dibyadip Chatterjee, Fadime Sener, Shugao Ma +1
Human actions in egocentric videos are often hand-object interactions composed from a verb (performed by the hand) applied to an object. Despite their extensive scaling up, egocent…
Learning to Generate Training Datasets for Robust Semantic Segmentation
Marwane Hariat, Olivier Laurent, Rémi Kazmierczak +4
Semantic segmentation methods have advanced significantly. Still, their robustness to real-world perturbations and object types not seen during training remains a challenge, partic…
Every Mistake Counts in Assembly
Guodong Ding, Fadime Sener, Shugao Ma +1
One promising use case of AI assistants is to help with complex procedures like cooking, home repair, and assembly tasks. Can we teach the assistant to interject after the user mak…
Overcoming the Trade-off Between Accuracy and Plausibility in 3D Hand Shape Reconstruction
Ziwei Yu, Chen Li, Linlin Yang +4
Direct mesh fitting for 3D hand shape reconstruction is highly accurate. However, the reconstructed meshes are prone to artifacts and do not appear as plausible hand shapes. Conver…
Enhancing Video Super-Resolution via Implicit Resampling-based Alignment
Kai Xu, Ziwei Yu, Xin Wang +2
In video super-resolution, it is common to use a frame-wise alignment to support the propagation of information over time. The role of alignment is well-studied for low-level enhan…
Contrastive Video Question Answering via Video Graph Transformer
Junbin Xiao, Pan Zhou, Angela Yao +4
We propose to perform video question answering (VideoQA) in a Contrastive manner via a Video Graph Transformer model (CoVGT). CoVGT's uniqueness and superiority are three-fold: 1)…
Bias-Compensated Integral Regression for Human Pose Estimation
Kerui Gu, Linlin Yang, Michael Bi Mi +1
In human and hand pose estimation, heatmaps are a crucial intermediate representation for a body or hand keypoint. Two popular methods to decode the heatmap into a final joint coor…