4 citations · 7 across the 6 of their papers we have counts for
6 papers
AP-CAP: Advancing High-Quality Data Synthesis for Animal Pose Estimation via a Controllable Image Generation Pipeline
Lei Wang, Yujie Zhong, Xiaopeng Sun +5
The task of 2D animal pose estimation plays a crucial role in advancing deep learning applications in animal behavior analysis and ecological research. Despite notable progress in…
Temporal-Enhanced Multimodal Transformer for Referring Multi-Object Tracking and Segmentation
Changcheng Xiao, Qiong Cao, Yujie Zhong +4
Referring multi-object tracking (RMOT) is an emerging cross-modal task that aims to locate an arbitrary number of target objects and maintain their identities referred by a languag…
MambaTrack: A Simple Baseline for Multiple Object Tracking with State Space Model
Changcheng Xiao, Qiong Cao, Zhigang Luo +1
Tracking by detection has been the prevailing paradigm in the field of Multi-object Tracking (MOT). These methods typically rely on the Kalman Filter to estimate the future locatio…
Human-Aware 3D Scene Generation with Spatially-constrained Diffusion Models
Xiaolin Hong, Hongwei Yi, Fazhi He +1
Generating 3D scenes from human motion sequences supports numerous applications, including virtual reality and architectural design. However, previous auto-regression-based human-a…
MVP-Human Dataset for 3D Human Avatar Reconstruction from Unconstrained Frames
Xiangyu Zhu, Tingting Liao, Jiangjing Lyu +6
In this paper, we consider a novel problem of reconstructing a 3D human avatar from multiple unconstrained frames, independent of assumptions on camera calibration, capture space,…
View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums
Conghao Wong, Beihao Xia, Ziming Hong +5
Understanding and forecasting future trajectories of agents are critical for behavior analysis, robot navigation, autonomous cars, and other related applications. Previous methods…