0

Xinlei Chen

Papers
22

Cite

Notes

Only stored in your browser.

Attribution

Affiliations & profile
Semantic Scholar
Attribution policy →
22papers

Authored papers

22

RLinf-USER: A Unified and Extensible System for Real-World Online Policy Learning in Embodied AI

arXiv 2026

2026

Embodied-R: Collaborative Framework for Activating Embodied Spatial Reasoning in Foundation Models via Reinforcement Learning

arXiv 2025

2025

VS-Bench: Evaluating VLMs for Strategic Reasoning and Decision-Making in Multi-Agent Environments

arXiv 2025

2025

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining

arXiv 2025

2025

UrbanVideo-Bench: Benchmarking Vision-Language Models on Embodied Intelligence with Video Data in Urban Spaces

arXiv 2025

2025

Meta CLIP 2: A Worldwide Scaling Recipe

arXiv 2025

2025

Open3DVQA: A Benchmark for Comprehensive Spatial Reasoning with Multimodal Large Language Model in Open Space

arXiv 2025

2025

Revisiting Feature Prediction for Learning Visual Representations from Video

arXiv preprint 2024 2

2024

Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers

arXiv 2024

2024

On the Surprising Effectiveness of Attention Transfer for Vision Transformers

arXiv 2024

2024

Learning to (Learn at Test Time): RNNs with Expressive Hidden States

arXiv 2024

2024

Massive Activations in Large Language Models

arXiv 2024

2024

ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders

CVPR 2023 1

2023

Learning to (Learn at Test Time)

arXiv 2023

2023

R-MAE: Regions Meet Masked Autoencoders

arXiv 2023

2023

Masked Autoencoders Are Scalable Vision Learners

CVPR 2022 1

2021

An Empirical Study of Training Self-Supervised Vision Transformers

ICCV 2021 10

2021

Improved Baselines with Momentum Contrastive Learning

arXiv 2020

2020

Exploring Simple Siamese Representation Learning

CVPR 2021 1

2020

Understanding Self-supervised Learning with Dual Deep Networks

arXiv 2020

2020

Towards VQA Models That Can Read

towards-vqa-models-that-can-read-1

2019

Microsoft COCO Captions: Data Collection and Evaluation Server

arXiv 2015

2015

Affiliations

No known affiliations.

Frequent co-authors

10

from 22 papers