activity
20232026
most citedWho is to Blame: A Comprehensive Review of Challenges and Opportunities in Designer-Developer Collaboration

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

collaborators

6 papers

cs.CL2026

Tool-MCoT: Tool Augmented Multimodal Chain-of-Thought for Content Safety Moderation

Shutong Zhang, Dylan Zhou, Yinxiao Liu +3

The growth of online platforms and user content requires strong content moderation systems that can handle complex inputs from various media types. While large language models (LLM…

cs.CV2025

NPSim: Nighttime Photorealistic Simulation From Daytime Images With Monocular Inverse Rendering and Ray Tracing

Shutong Zhang

Semantic segmentation is an important task for autonomous driving. A powerful autonomous driving system should be capable of handling images under all conditions, including nightti…

cs.SE2025★ 4 cited

Who is to Blame: A Comprehensive Review of Challenges and Opportunities in Designer-Developer Collaboration

Shutong Zhang, Tianyu Zhang, Jinghui Cheng +1

Software development relies on effective collaboration between Software Development Engineers (SDEs) and User eXperience Designers (UXDs) to create software products of high qualit…

cs.CV2024

Sun Off, Lights On: Photorealistic Monocular Nighttime Simulation for Robust Semantic Perception

Konstantinos Tzevelekakis, Shutong Zhang, Luc Van Gool +1

Nighttime scenes are hard to semantically perceive with learned models and annotate for humans. Thus, realistic synthetic nighttime data become all the more important for learning…

cs.CV2023

HandyPriors: Physically Consistent Perception of Hand-Object Interactions with Differentiable Priors

Shutong Zhang, Yi-Ling Qiao, Guanglei Zhu +6

Various heuristic objectives for modeling hand-object interaction have been proposed in past work. However, due to the lack of a cohesive framework, these objectives often possess…

cs.RO2023

Fast-Grasp'D: Dexterous Multi-finger Grasp Generation Through Differentiable Simulation

Dylan Turpin, Tao Zhong, Shutong Zhang +8

Multi-finger grasping relies on high quality training data, which is hard to obtain: human data is hard to transfer and synthetic data relies on simplifying assumptions that reduce…