activity
20222026
most citedSkeleton-based Human Action Recognition via Convolutional Neural Networks (CNN)

9 citations · 11 across the 12 of their papers we have counts for

collaborators

12 papers

cs.CV2026

InteractGesture: Progressive Chunk Guidance for Continuous Streaming Co-Speech Gesture Control

Ekkasit Pinyoanuntapong, Ajinkya Deogade, Paul Streli +5

Co-speech gesture generation has made significant progress toward realistic full-body motion from speaker audio, yet existing models lack fine-grained spatial controllability of in…

cs.CV2026

LiveGesture Streamable Co-Speech Gesture Generation Model

Muhammad Usama Saleem, Mayur Jagdishbhai Patel, Ekkasit Pinyoanuntapong +6

We propose LiveGesture, the first fully streamable, speech-driven full-body gesture generation framework that operates with zero look-ahead and supports arbitrary sequence length.…

cs.GR2025

Walk Before You Dance: High-fidelity and Editable Dance Synthesis via Generative Masked Motion Prior

Foram N Shah, Parshwa Shah, Muhammad Usama Saleem +4

Recent advances in dance generation have enabled the automatic synthesis of 3D dance motions. However, existing methods still face significant challenges in simultaneously achievin…

cs.CV2024

GenHMR: Generative Human Mesh Recovery

Muhammad Usama Saleem, Ekkasit Pinyoanuntapong, Pu Wang +3

Human mesh recovery (HMR) is crucial in many computer vision applications; from health to arts and entertainment. HMR from monocular images has predominantly been addressed by dete…

cs.CV2024

MaskHand: Generative Masked Modeling for Robust Hand Mesh Reconstruction in the Wild

Muhammad Usama Saleem, Ekkasit Pinyoanuntapong, Mayur Jagdishbhai Patel +4

Reconstructing a 3D hand mesh from a single RGB image is challenging due to complex articulations, self-occlusions, and depth ambiguities. Traditional discriminative methods, which…

cs.CV2024

MaskControl: Spatio-Temporal Control for Masked Motion Synthesis

Ekkasit Pinyoanuntapong, Muhammad Usama Saleem, Korrawe Karunratanakul +7

Recent advances in motion diffusion models have enabled spatially controllable text-to-motion generation. However, these models struggle to achieve high-precision control while mai…