Kai Chen

Orcid: 0000-0002-6820-2325

Affiliations:

SenseTime Research, Hong Kong
Shanghai AI Laboratory, Guangzhou, China
Chinese University of Hong Kong, SenseTime Joint Lab, Hong Kong (PhD 2019)

According to our database¹, Kai Chen authored at least 86 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

InternLM-Law: An Open Source Chinese Legal Large Language Model.

[BibT_eX]

[DOI]

CoRR, 2024

Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs.

[BibT_eX]

[DOI]

CoRR, 2024

MMBench-Video: A Long-Form Multi-Shot Benchmark for Holistic Video Understanding.

[BibT_eX]

[DOI]

CoRR, 2024

MIPI 2024 Challenge on Few-shot RAW Image Denoising: Methods and Results.

[BibT_eX]

[DOI]

CoRR, 2024

ANAH: Analytical Annotation of Hallucinations in Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

AlchemistCoder: Harmonizing and Eliciting Code Capability by Hindsight Tuning on Multi-source Data.

[BibT_eX]

[DOI]

CoRR, 2024

An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models.

[BibT_eX]

[DOI]

CoRR, 2024

MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics Benchmark.

[BibT_eX]

[DOI]

CoRR, 2024

The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition.

[BibT_eX]

[DOI]

CoRR, 2024

Multi-Modal Data-Efficient 3D Scene Understanding for Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2024

Adapting LLaMA Decoder to Vision Transformer.

[BibT_eX]

[DOI]

CoRR, 2024

InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD.

[BibT_eX]

[DOI]

CoRR, 2024

Ada-LEval: Evaluating long-context LLMs with length-adaptable benchmarks.

[BibT_eX]

[DOI]

CoRR, 2024

From Pixels to Graphs: Open-Vocabulary Scene Graph Generation with Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

InternLM2 Technical Report.

[BibT_eX]

[DOI]

et al.

CoRR, 2024

Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding.

[BibT_eX]

[DOI]

CoRR, 2024

Make-It-Vivid: Dressing Your Animatable Biped Cartoon Characters from Text.

[BibT_eX]

[DOI]

CoRR, 2024

Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

CriticBench: Evaluating Large Language Models as Critic.

[BibT_eX]

[DOI]

CoRR, 2024

InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning.

[BibT_eX]

[DOI]

CoRR, 2024

InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model.

[BibT_eX]

[DOI]

CoRR, 2024

Can AI Assistants Know What They Don't Know?

[BibT_eX]

[DOI]

CoRR, 2024

OMG-Seg: Is One Model Good Enough For All Segmentation?

[BibT_eX]

[DOI]

CoRR, 2024

Towards Language-Driven Video Inpainting via Multimodal Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

HuixiangDou: Overcoming Group Chat Scenarios with LLM-based Technical Assistance.

[BibT_eX]

[DOI]

Huanjun Kong

Songyang Zhang

Kai Chen

CoRR, 2024

2023

EmbodiedScan: A Holistic Multi-Modal 3D Perception Suite Towards Embodied AI.

[BibT_eX]

[DOI]

CoRR, 2023

T-Eval: Evaluating the Tool Utilization Capability Step by Step.

[BibT_eX]

[DOI]

CoRR, 2023

Mixed Pseudo Labels for Semi-Supervised Object Detection.

[BibT_eX]

[DOI]

CoRR, 2023

BotChat: Evaluating LLMs' Capabilities of Having Multi-Turn Dialogues.

[BibT_eX]

[DOI]

CoRR, 2023

Evaluating Hallucinations in Chinese Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

DST-Det: Simple Dynamic Self-Training for Open-Vocabulary Object Detection.

[BibT_eX]

[DOI]

CoRR, 2023

LawBench: Benchmarking Legal Knowledge of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition.

[BibT_eX]

[DOI]

CoRR, 2023

Object2Scene: Putting Objects in Context for Open-Vocabulary 3D Detection.

[BibT_eX]

[DOI]

CoRR, 2023

Learning Referring Video Object Segmentation from Weak Annotation.

[BibT_eX]

[DOI]

CoRR, 2023

MMBench: Is Your Multi-modal Model an All-around Player?

[BibT_eX]

[DOI]

CoRR, 2023

GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest.

[BibT_eX]

[DOI]

CoRR, 2023

MultiModal-GPT: A Vision and Language Model for Dialogue with Humans.

[BibT_eX]

[DOI]

CoRR, 2023

Transformer-Based Visual Segmentation: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

RoboBEV: Towards Robust Bird's Eye View Perception under Corruptions.

[BibT_eX]

[DOI]

CoRR, 2023

RIFormer: Keep Your Vision Backbone Effective While Removing Token Mixer.

[BibT_eX]

[DOI]

CoRR, 2023

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions.

[BibT_eX]

[DOI]

CoRR, 2023

PixMIM: Rethinking Pixel Reconstruction in Masked Image Modeling.

[BibT_eX]

[DOI]

CoRR, 2023

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

TG-VQA: Ternary Game of Video Question Answering.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Improving Pixel-based MIM by Reducing Wasted Modeling Capability.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Dense Distinct Query for End-to-End Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RIFormer: Keep Your Vision Backbone Effective But Removing Token Mixer.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Semantics-Aware Dynamic Localization and Refinement for Referring Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

CARAFE++: Unified Content-Aware ReAssembly of FEatures.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

RTMDet: An Empirical Study of Designing Real-Time Object Detectors.

[BibT_eX]

[DOI]

CoRR, 2022

DG-STGCN: Dynamic Spatial-Temporal Modeling for Skeleton-based Action Recognition.

[BibT_eX]

[DOI]

CoRR, 2022

What Are Expected Queries in End-to-End Object Detection?

[BibT_eX]

[DOI]

CoRR, 2022

Dense Siamese Network.

[BibT_eX]

[DOI]

CoRR, 2022

MMRotate: A Rotated Object Detection Benchmark using PyTorch.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

PYSKL: Towards Good Practices for Skeleton Action Recognition.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Dense Siamese Network for Dense Unsupervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Mitigating Representation Bias in Action Recognition: Algorithms and Benchmarks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Group R-CNN for Weakly Semi-supervised Object Detection with Points.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

OCSampler: Compressing Videos to One Clip with Single-step Sampling.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

TransRank: Self-supervised Video Representation Learning via Ranking-based Transformation Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Revisiting Skeleton-based Action Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

LAVT: Language-Aware Vision Transformer for Referring Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Towards Balanced Learning for Instance Recognition.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2021

STransGAN: An Empirical Study on Transformer in GANs.

[BibT_eX]

[DOI]

CoRR, 2021

WSSOD: A New Pipeline for Weakly- and Semi-Supervised Object Detection.

[BibT_eX]

[DOI]

CoRR, 2021

Revisiting Skeleton-based Action Recognition.

[BibT_eX]

[DOI]

CoRR, 2021

K-Net: Towards Unified Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Few-Shot Object Detection via Association and DIscrimination.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Positional Encoding As Spatial Inductive Bias in GANs.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Seesaw Loss for Long-Tailed Instance Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Temporal ROI Align for Video Object Recognition.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Feature Pyramid Grids.

[BibT_eX]

[DOI]

Christoph Feichtenhofer

CoRR, 2020

Side-Aware Boundary Localization for More Precise Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Prime Sample Attention in Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

MMDetection: Open MMLab Detection Toolbox and Benchmark.

[BibT_eX]

[DOI]

CoRR, 2019

CARAFE: Content-Aware ReAssembly of FEatures.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Region Proposal by Guided Anchoring.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Libra R-CNN: Towards Balanced Learning for Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Hybrid Task Cascade for Instance Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Optimizing Video Object Detection via a Scale-Time Lattice.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Video Object Segmentation with Re-identification.

[BibT_eX]

[DOI]

CoRR, 2017

Discover and Learn New Objects from Documentaries.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Kai Chen

Timeline

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