activity
20222026
most citedBrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent

2 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

cs.HC2026★ 1 cited

Notational Animating: An Interactive Approach to Creating and Editing Animation Keyframes

Xinyu Shi, Li-Yi Wei, Nanxuan Zhao +2

We introduce the concept of notational animating, an interaction paradigm for animation authoring where users sketch high-level notations over static drawings to indicate intended…

cs.CL2025★ 2 cited

BrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent

Zijian Chen, Xueguang Ma, Shengyao Zhuang +17

Deep-Research agents, which integrate large language models (LLMs) with search tools, have shown success in improving the effectiveness of handling complex queries that require ite…

cs.HC2025

Brickify: Enabling Expressive Design Intent Specification through Direct Manipulation on Design Tokens

Xinyu Shi, Yinghou Wang, Ryan Rossi +1

Expressing design intent using natural language prompts requires designers to verbalize the ambiguous visual details concisely, which can be challenging or even impossible. To addr…

cs.HC2024

Exploring Interactive Color Palettes for Abstraction-Driven Exploratory Image Colorization

Xinyu Shi, Mingyu Liu, Ziqi Zhou +3

Color design is essential in areas such as product, graphic, and fashion design. However, current tools like Photoshop, with their concrete-driven color manipulation approach, ofte…

cs.HC2024

Piet: Facilitating Color Authoring for Motion Graphics Video

Xinyu Shi, Yinghou Wang, Yun Wang +1

Motion graphic (MG) videos are effective and compelling for presenting complex concepts through animated visuals; and colors are important to convey desired emotions, maintain visu…

cs.CV2022

Real-World Blind Super-Resolution via Feature Matching with Implicit High-Resolution Priors

Chaofeng Chen, Xinyu Shi, Yipeng Qin +4

A key challenge of real-world image super-resolution (SR) is to recover the missing details in low-resolution (LR) images with complex unknown degradations (e.g., downsampling, noi…