activity
20222026
most citedTransfer of Representations to Video Label Propagation: Implementation Factors Matter

2 citations · 3 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training

Jinhong Lin, Pan Wang, Zitong Zhan +2

A key inefficiency in diffusion training occurs when a randomly initialized network, lacking visual priors, encounters gradients from the full complexity spectrum--most of which it…

cs.RO2025

Fast Task Planning with Neuro-Symbolic Relaxation

Qiwei Du, Bowen Li, Yi Du +5

Real-world task planning requires long-horizon reasoning over large sets of objects with complex relationships and attributes, leading to a combinatorial explosion for classical sy…

cs.RO2025

AnyNav: Visual Neuro-Symbolic Friction Learning for Off-road Navigation

Taimeng Fu, Zitong Zhan, Zhipeng Zhao +7

Off-road navigation is critical for a wide range of field robotics applications from planetary exploration to disaster response. However, it remains a longstanding challenge due to…

cs.CV20221 cited

Robust Online Video Instance Segmentation with Track Queries

Zitong Zhan, Daniel McKee, Svetlana Lazebnik

Recently, transformer-based methods have achieved impressive results on Video Instance Segmentation (VIS). However, most of these top-performing methods run in an offline manner by…

cs.CV20222 cited

Transfer of Representations to Video Label Propagation: Implementation Factors Matter

Daniel McKee, Zitong Zhan, Bing Shuai +3

This work studies feature representations for dense label propagation in video, with a focus on recently proposed methods that learn video correspondence using self-supervised sign…