activity
20222026
most citedStructured Context Transformer for Generic Event Boundary Detection

4 citations · 7 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2026

UNICA: A Unified Neural Framework for Controllable 3D Avatars

Jiahe Zhu, Xinyao Wang, Yiyu Zhuang +4

Controllable 3D human avatars have found widespread applications in 3D games, the metaverse, and AR/VR scenarios. The conventional approach to creating such a 3D avatar requires a…

cs.CV2025

Structured Context Learning for Generic Event Boundary Detection

Xin Gu, Congcong Li, Xinyao Wang +5

Generic Event Boundary Detection (GEBD) aims to identify moments in videos that humans perceive as event boundaries. This paper proposes a novel method for addressing this task, ca…

cs.LG2024★ 1 cited

DiffLM: Controllable Synthetic Data Generation via Diffusion Language Models

Ying Zhou, Xinyao Wang, Yulei Niu +6

Recent advancements in large language models (LLMs) have significantly enhanced their knowledge and generative capabilities, leading to a surge of interest in leveraging LLMs for h…

cs.CL2024

AIPO: Improving Training Objective for Iterative Preference Optimization

Yaojie Shen, Xinyao Wang, Yulei Niu +5

Preference Optimization (PO), is gaining popularity as an alternative choice of Proximal Policy Optimization (PPO) for aligning Large Language Models (LLMs). Recent research on ali…

cs.CV2024

Beyond Raw Videos: Understanding Edited Videos with Large Multimodal Model

Lu Xu, Sijie Zhu, Chunyuan Li +7

The emerging video LMMs (Large Multimodal Models) have achieved significant improvements on generic video understanding in the form of VQA (Visual Question Answering), where the ra…

cs.CV2024★ 2 cited

CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-Experts

Jiachen Li, Xinyao Wang, Sijie Zhu +6

Recent advancements in Multimodal Large Language Models (LLMs) have focused primarily on scaling by increasing text-image pair data and enhancing LLMs to improve performance on mul…

cs.CV2022★ 4 cited

Structured Context Transformer for Generic Event Boundary Detection

Congcong Li, Xinyao Wang, Dexiang Hong +4

Generic Event Boundary Detection (GEBD) aims to detect moments where humans naturally perceive as event boundaries. In this paper, we present Structured Context Transformer (or SC-…