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researcher

Xin Lai

6 papers hereh-index 6688 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author4

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.CL1
  • cs.LG1
same name
  • Xin Lai — 6 papers, h 11
  • Xin Lai — 5 papers, h 12
  • Xin Lai — 4 papers, h 3
  • Xin Lai — 3 papers, h 3
  • Xin Lai — 2 papers
  • Xin Lai — 2 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232025
most citedMask-Attention-Free Transformer for 3D Instance Segmentation

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

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2025

VideoZoomer: Reinforcement-Learned Temporal Focusing for Long Video Reasoning

Yang Ding, Yizhen Zhang, Xin Lai +2

Multimodal Large Language Models (MLLMs) have achieved remarkable progress in vision-language tasks yet remain limited in long video understanding due to the limited context window…

cs.CV2025

VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning

Senqiao Yang, Junyi Li, Xin Lai +3

Recent advancements in vision-language models (VLMs) have improved performance by increasing the number of visual tokens, which are often significantly longer than text tokens. How…

cs.CV2024★ 4 cited

LISA++: An Improved Baseline for Reasoning Segmentation with Large Language Model

Senqiao Yang, Tianyuan Qu, Xin Lai +4

While LISA effectively bridges the gap between segmentation and large language models to enable reasoning segmentation, it poses certain limitations: unable to distinguish differen…

cs.CV2023★ 4 cited

Mask-Attention-Free Transformer for 3D Instance Segmentation

Xin Lai, Yuhui Yuan, Ruihang Chu +3

Recently, transformer-based methods have dominated 3D instance segmentation, where mask attention is commonly involved. Specifically, object queries are guided by the initial insta…

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