Jingkang Yang

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Known people with the same name:

Jingkang Yang 001 (South China University of Technology, Guangzhou, China)

Bibliography

2026

FileGram: Grounding Agent Personalization in File-System Behavioral Traces.

[BibT_eX]

[DOI]

CoRR, April, 2026

A Simple Baseline for Streaming Video Understanding.

[BibT_eX]

[DOI]

CoRR, April, 2026

HippoCamp: Benchmarking Contextual Agents on Personal Computers.

[BibT_eX]

[DOI]

CoRR, April, 2026

UNO: Unifying One-stage Video Scene Graph Generation via Object-Centric Visual Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025

VideoLucy: Deep Memory Backtracking for Long Video Understanding.

[BibT_eX]

[DOI]

CoRR, October, 2025

Otter: A Multi-Modal Model With In-Context Instruction Tuning.

[BibT_eX]

[DOI]

Joshua Adrian Cahyono

Jingkang Yang

Chunyuan Li

Ziwei Liu

IEEE Trans. Pattern Anal. Mach. Intell., September, 2025

Ego-R1: Chain-of-Tool-Thought for Ultra-Long Egocentric Video Reasoning.

[BibT_eX]

[DOI]

CoRR, June, 2025

Long Context Transfer from Language to Vision.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2025

Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2025

LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models.

[BibT_eX]

[DOI]

Joshua Adrian Cahyono

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

EgoLife: Towards Egocentric Life Assistant.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Learning 4D Panoptic Scene Graph Generation from Rich 2D Visual Scene.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Zero-Shot Low-Light Image Enhancement.

[BibT_eX]

[DOI]

Jingkang Yang

Junfeng Liu

Yuanjian Zhou

Proceedings of the Attacks and Defenses for the Internet-of-Things, 2025

Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Pair Then Relation: Pair-Net for Panoptic Scene Graph Generation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Generalized Out-of-Distribution Detection: A Survey.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., December, 2024

GIST: distributed training for large-scale graph convolutional networks.

[BibT_eX]

[DOI]

Anastasios Kyrillidis

J. Appl. Comput. Topol., October, 2024

OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection.

[BibT_eX]

[DOI]

J. Data-centric Mach. Learn. Res., 2024

WorldQA: Multimodal World Knowledge in Videos through Long-Chain Reasoning.

[BibT_eX]

[DOI]

Christopher Arif Setiadharma

Jingkang Yang

Ziwei Liu

CoRR, 2024

Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Octopus: Embodied Vision-Language Programmer from Environmental Feedback.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

🐱 FunQA: Towards Surprising Video Comprehension.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

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

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Full-Spectrum Out-of-Distribution Detection.

[BibT_eX]

[DOI]

Jingkang Yang

Kaiyang Zhou

Ziwei Liu

Int. J. Comput. Vis., October, 2023

OtterHD: A High-Resolution Multi-modality Model.

[BibT_eX]

[DOI]

CoRR, 2023

FunQA: Towards Surprising Video Comprehension.

[BibT_eX]

[DOI]

CoRR, 2023

OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection.

[BibT_eX]

[DOI]

CoRR, 2023

MIMIC-IT: Multi-Modal In-Context Instruction Tuning.

[BibT_eX]

[DOI]

CoRR, 2023

SAD: Segment Any RGBD.

[BibT_eX]

[DOI]

CoRR, 2023

Otter: A Multi-Modal Model with In-Context Instruction Tuning.

[BibT_eX]

[DOI]

CoRR, 2023

4D Panoptic Scene Graph Generation.

[BibT_eX]

[DOI]

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

Large Language Models are Visual Reasoning Coordinators.

[BibT_eX]

[DOI]

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

Sparse Mixture-of-Experts are Domain Generalizable Learners.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Panoptic Video Scene Graph Generation.

[BibT_eX]

[DOI]

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

2022

Learning to Prompt for Vision-Language Models.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2022

On-Device Domain Generalization.

[BibT_eX]

[DOI]

CoRR, 2022

Sparse Fusion Mixture-of-Experts are Domain Generalizable Learners.

[BibT_eX]

[DOI]

CoRR, 2022

OpenOOD: Benchmarking Generalized Out-of-Distribution Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Panoptic Scene Graph Generation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Conditional Prompt Learning for Vision-Language Models.

[BibT_eX]

[DOI]

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

2021

Progressive Representative Labeling for Deep Semi-Supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2021

GIST: Distributed Training for Large-Scale Graph Convolutional Networks.

[BibT_eX]

[DOI]

Anastasios Kyrillidis

CoRR, 2021

Semantically Coherent Out-of-Distribution Detection.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Predicting Synthetic Lethality in Human Cancers via Multi-Graph Ensemble Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Webly Supervised Image Classification with Metadata: Automatic Noisy Label Correction via Visual-Semantic Graph.

[BibT_eX]

[DOI]

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Webly Supervised Image Classification with Self-contained Confidence.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Deep mixed model for marginal epistasis detection and population stratification correction in genome-wide association studies.

[BibT_eX]

[DOI]

BMC Bioinform., 2019

2018

Enhancing Geometric Deep Learning via Graph Filter Deconvolution.

[BibT_eX]

[DOI]

Jingkang Yang

Santiago Segarra

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2016

SeDMiD for Confusion Detection: Uncovering Mind State from Time Series Brain Wave Data.

[BibT_eX]

[DOI]

CoRR, 2016

Multiple confounders correction with regularized linear mixed effect models, with application in biological processes.

[BibT_eX]

[DOI]

Haohan Wang

Jingkang Yang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015

Principal Component Analysis and Clustering Based Indoor Localizaion.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Jingkang Yang

Known people with the same name:

Bibliography

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