activity
20232026
most citedPL-FSCIL: Harnessing the Power of Prompts for Few-Shot Class-Incremental Learning

1 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Video Generation Meets Agent Harness: Agentic Video Generation, Agentic World Modeling and Recursive Self-Improvement

Liaoyuan Fan, Yuhao Zheng, Dongxing Mao +18

Video generation is shifting from end-to-end synthesis toward agentic generation, where planning, tool use, and feedback enable coherent, controllable multi-shot videos. In paralle…

cs.CV2026

RULER: Instance-aware Rubric Rewards for SVG Generation

Hangyu Ran, Yuhao Zheng, Yingying Zhang +2

Generating Scalable Vector Graphics (SVG) code from natural-language instructions is an open-ended task without absolute visual ground truth, leaving both evaluation and policy opt…

cs.CV2025

VCode: a Multimodal Coding Benchmark with SVG as Symbolic Visual Representation

Kevin Qinghong Lin, Yuhao Zheng, Hangyu Ran +5

Code has emerged as a precise and executable medium for reasoning and action in the agent era. Yet, progress has largely focused on language-centric tasks such as program synthesis…

cs.CV2024★ 1 cited

PL-FSCIL: Harnessing the Power of Prompts for Few-Shot Class-Incremental Learning

Songsong Tian, Lusi Li, Weijun Li +3

Few-Shot Class-Incremental Learning (FSCIL) aims to enable deep neural networks to learn new tasks incrementally from a small number of labeled samples without forgetting previousl…

cs.CV2023★ 1 cited

A Survey on Few-Shot Class-Incremental Learning

Songsong Tian, Lusi Li, Weijun Li +3

Large deep learning models are impressive, but they struggle when real-time data is not available. Few-shot class-incremental learning (FSCIL) poses a significant challenge for dee…