collaborators

5 papers

cs.CV2026

SciFlow: Semantic Cross Interference for Self-Supervised Optical Flow Domain Generalization

Jamie Menjay Lin, Jisoo Jeong, Hong Cai +2

Motions of objects and scenes carry essential intelligence in video understanding, offering rich cues for interpreting dynamic settings and interactions. Due to the cost and scarci…

cs.CV2026

Advances in 4D Representation: Geometry, Motion, and Interaction

Mingrui Zhao, Sauradip Nag, Kai Wang +5

We present a survey on 4D generation and reconstruction, a fast-evolving subfield of computer graphics whose developments have been propelled by recent advances in neural fields, g…

cs.CV2026

Articulate That Object Part (ATOP): 3D Part Articulation via Text and Motion Personalization

Aditya Vora, Sauradip Nag, Kai Wang +1

We present ATOP (Articulate That Object Part), a novel few-shot method based on motion personalization to articulate a static 3D object with respect to a part and its motion as pre…

cs.CV2026

UniCalli: A Unified Diffusion Framework for Column-Level Generation and Recognition of Chinese Calligraphy

Tianshuo Xu, Kai Wang, Zhifei Chen +4

Computational replication of Chinese calligraphy remains challenging. Existing methods falter, either creating high-quality isolated characters while ignoring page-level aesthetics…

cs.CV2026

Unsupervised Stereo via Multi-Baseline Geometry-Consistent Self-Training

Peng Xu, Zhiyu Xiang, Tingming Bai +5

Photometric loss and pseudo-label-based self-training are two widely used methods for training stereo networks on unlabeled data. However, they both struggle to provide accurate su…