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20242026
most citedSymbolic Music Generation with Non-Differentiable Rule Guided Diffusion

4 citations · 4 across the 9 of their papers we have counts for

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7 papers · 1 filter

cs.CV2026

Decoding Children's Gait Behavior

Yifan Shen, Boyi Li, Meihuan Huang +12

We introduce a new problem domain for human action recognition: the fine-grained analysis of children's gait behaviors from standard RGB video. We specifically target the ambulator…

cs.CV2026

ELSA3D: Elastic Semantic Anchoring for Unified 3D Understanding and Generation

Tianjiao Yu, Xinzhuo Li, Yifan Shen +4

Unified 3D foundation models aspire to generate 3D assets and reason about them in language within a single backbone, but their text-3D interaction remains largely implicit. Existi…

cs.CV2026

EgoForge: Goal-Directed Egocentric World Simulator

Yifan Shen, Jiateng Liu, Xinzhuo Li +9

Generative world models have shown promise for simulating dynamic environments, yet egocentric video remains challenging due to rapid viewpoint changes, frequent hand-object intera…

cs.CV2026

Toward Cognitive Supersensing in Multimodal Large Language Model

Boyi Li, Yifan Shen, Yuanzhe Liu +12

Multimodal Large Language Models (MLLMs) have achieved remarkable success in open-vocabulary perceptual tasks, yet their ability to solve complex cognitive problems remains limited…

cs.CV2025

CoRe3D: Collaborative Reasoning as a Foundation for 3D Intelligence

Tianjiao Yu, Xinzhuo Li, Yifan Shen +2

Recent advances in large multimodal models suggest that explicit reasoning mechanisms play a critical role in improving model reliability, interpretability, and cross-modal alignme…

cs.CV2025

Fine-Grained Preference Optimization Improves Spatial Reasoning in VLMs

Yifan Shen, Yuanzhe Liu, Jingyuan Zhu +6

Current Vision-Language Models (VLMs) struggle with fine-grained spatial reasoning, particularly when multi-step logic and precise spatial alignment are required. In this work, we…

cs.CV2024

PlantTracing: Tracing Arabidopsis Thaliana Apex with CenterTrack

Yuanzhe Liu, Yixiang Mao, Yao Wang

This work applies an encoder-decoder-based machine learning network to detect and track the motion and growth of the flowering stem apex of Arabidopsis Thaliana. Based on the Cente…