activity
20222026
most citedFast-iTPN: Integrally Pre-Trained Transformer Pyramid Network with Token Migration

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

collaborators

6 papers

cs.CL2026

Reasoning LLM Improves Speaker Recognition in Long-form TV Dramas

Yuxuan Li, Lingxi Xie, Xinyue Huo +6

Long-form TV dramas present a formidable challenge for comprehensive video understanding, where deciphering complex storyline often relies on \textbf{speaker recognition}, the task…

cs.CV2026

LongVideo-R1: Smart Navigation for Low-cost Long Video Understanding

Jihao Qiu, Lingxi Xie, Xinyue Huo +2

This paper addresses the critical and underexplored challenge of long video understanding with low computational budgets. We propose LongVideo-R1, an active, reasoning-equipped mul…

cs.CV2025

Adaptive Keyframe Sampling for Long Video Understanding

Xi Tang, Jihao Qiu, Lingxi Xie +3

Multimodal large language models (MLLMs) have enabled open-world visual understanding by injecting visual input as extra tokens into large language models (LLMs) as contexts. Howev…

cs.CV2024

Artemis: Towards Referential Understanding in Complex Videos

Jihao Qiu, Yuan Zhang, Xi Tang +6

Videos carry rich visual information including object description, action, interaction, etc., but the existing multimodal large language models (MLLMs) fell short in referential un…

cs.CV2024

ChatterBox: Multi-round Multimodal Referring and Grounding

Yunjie Tian, Tianren Ma, Lingxi Xie +6

In this study, we establish a baseline for a new task named multimodal multi-round referring and grounding (MRG), opening up a promising direction for instance-level multimodal dia…

cs.CV2022★ 2 cited

Fast-iTPN: Integrally Pre-Trained Transformer Pyramid Network with Token Migration

Yunjie Tian, Lingxi Xie, Jihao Qiu +4

We propose integrally pre-trained transformer pyramid network (iTPN), towards jointly optimizing the network backbone and the neck, so that transfer gap between representation mode…