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20222026
most citedPrior-Aware Synthetic Data to the Rescue: Animal Pose Estimation with Very Limited Real Data

4 citations · 9 across the 6 of their papers we have counts for

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cs.CV2026

PanoWorld: Geometry-Consistent Panoramic Video World Modeling

Le Jiang, Xiangyu Bai, Bishoy Galoaa +7

We present PanoWorld, a panoramic video world model that generates geometry-consistent 360 video from a single image and a caption. Existing panoramic video methods optimi…

cs.CV2026

TrackNetV5: Residual-Driven Spatio-Temporal Refinement and Motion Direction Decoupling for Fast Object Tracking

Haonan Tang, Yanjun Chen, Lezhi Jiang +2

The TrackNet series has established a strong baseline for fast-moving small object tracking in sports. However, existing iterations face significant limitations: V1-V3 struggle wit…

cs.CV2025

Broadening View Synthesis of Dynamic Scenes from Constrained Monocular Videos

Le Jiang, Shaotong Zhu, Yedi Luo +2

In dynamic Neural Radiance Fields (NeRF) systems, state-of-the-art novel view synthesis methods often fail under significant viewpoint deviations, producing unstable and unrealisti…

cs.CV2023★ 3 cited

SPAC-Net: Synthetic Pose-aware Animal ControlNet for Enhanced Pose Estimation

Le Jiang, Sarah Ostadabbas

Animal pose estimation has become a crucial area of research, but the scarcity of annotated data is a significant challenge in developing accurate models. Synthetic data has emerge…

cs.CV2022★ 4 cited

Prior-Aware Synthetic Data to the Rescue: Animal Pose Estimation with Very Limited Real Data

Le Jiang, Shuangjun Liu, Xiangyu Bai +1

Accurately annotated image datasets are essential components for studying animal behaviors from their poses. Compared to the number of species we know and may exist, the existing l…