activity
20232026
most citedRecovering Complete Actions for Cross-dataset Skeleton Action Recognition

1 citations · 1 across the 6 of their papers we have counts for

collaborators

7 papers

cs.LG2026

CyFA: Linear Sequence Modeling with Relative-Time-Partitioned Memory

Yixiao Chen, Shuojin Yang, Shi-Min Hu

Linear RNNs offer linear-time sequence processing and constant-memory decoding, but their fixed-size recurrent states must accommodate all past key--value associations. Existing fo…

cs.CV2026

Towards Highly-Constrained Human Motion Generation with Retrieval-Guided Diffusion Noise Optimization

Hanchao Liu, Fang-Lue Zhang, Shining Zhang +2

Generating human motion that satisfies customized zero-shot goal functions, enabling applications such as controllable character animation and behavior synthesis for virtual agents…

cs.CV2026

Beyond Inpainting: Unleash 3D Understanding for Stable Camera-Controlled Video Generation

Dong-Yu Chen, Yixin Guo, Shuojin Yang +2

Camera control has been extensively studied in conditioned video generation; however, performing precisely altering the camera trajectories while faithfully preserving the video co…

cs.CV2025

NeuralSSD: A Neural Solver for Signed Distance Surface Reconstruction

Zi-Chen Xi, Jiahui Huang, Hao-Xiang Chen +4

We proposed a generalized method, NeuralSSD, for reconstructing a 3D implicit surface from the widely-available point cloud data. NeuralSSD is a solver-based on the neural Galerkin…

cs.CV2024★ 1 cited

Recovering Complete Actions for Cross-dataset Skeleton Action Recognition

Hanchao Liu, Yujiang Li, Tai-Jiang Mu +1

Despite huge progress in skeleton-based action recognition, its generalizability to different domains remains a challenging issue. In this paper, to solve the skeleton action gener…

cs.CV2024

Theoretically Achieving Continuous Representation of Oriented Bounding Boxes

Zi-Kai Xiao, Guo-Ye Yang, Xue Yang +3

Considerable efforts have been devoted to Oriented Object Detection (OOD). However, one lasting issue regarding the discontinuity in Oriented Bounding Box (OBB) representation rema…

cs.CV2023

Semantic-Aware Transformation-Invariant RoI Align

Guo-Ye Yang, George Kiyohiro Nakayama, Zi-Kai Xiao +3

Great progress has been made in learning-based object detection methods in the last decade. Two-stage detectors often have higher detection accuracy than one-stage detectors, due t…