2 citations · 2 across the 2 of their papers we have counts for
6 papers · 1 filter
MHE-Former: Multi-Hypothesis Transformers via Entropy Maximization for 3D Mesh Recovery
Boshu Jia, Rongyu Chen, Linlin Yang +9
Monocular 3D hand and body mesh recovery often suffers from severe occlusion and ambiguity. Traditional deterministic methods typically regress a single optimal solution, leading t…
MedFact-R1: Towards Factual Medical Reasoning via Pseudo-Label Augmentation
Gengliang Li, Rongyu Chen, Bin Li +2
Ensuring factual consistency and reliable reasoning remains a critical challenge for medical vision-language models. We introduce MEDFACT-R1, a two-stage framework that integrates…
Condensing Action Segmentation Datasets via Generative Network Inversion
Guodong Ding, Rongyu Chen, Angela Yao
This work presents the first condensation approach for procedural video datasets used in temporal action segmentation. We propose a condensation framework that leverages generative…
Semantics-aware Test-time Adaptation for 3D Human Pose Estimation
Qiuxia Lin, Rongyu Chen, Kerui Gu +1
This work highlights a semantics misalignment in 3D human pose estimation. For the task of test-time adaptation, the misalignment manifests as overly smoothed and unguided predicti…
On the Calibration of Human Pose Estimation
Kerui Gu, Rongyu Chen, Angela Yao
Most 2D human pose estimation frameworks estimate keypoint confidence in an ad-hoc manner, using heuristics such as the maximum value of heatmaps. The confidence is part of the eva…
Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement
Kai Xu, Rongyu Chen, Gianni Franchi +1
The capacity of a modern deep learning system to determine if a sample falls within its realm of knowledge is fundamental and important. In this paper, we offer insights and analys…