Junlin Han

According to our database, Junlin Han authored at least 36 papers between 2012 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Small Vision-Language Models are Smart Compressors for Long Video Understanding.

Junjie Fei, Jun Chen, Zechun Liu, Yunyang Xiong, Chong Zhou, Wei Wen, Junlin Han, Mingchen Zhuge, Saksham Suri, Qi Qian, Shuming Liu, Lemeng Wu, Raghuraman Krishnamoorthi, Vikas Chandra, Mohamed Elhoseiny, Chenchen Zhu

CoRR, April, 2026

Beyond Language Modeling: An Exploration of Multimodal Pretraining.

Shengbang Tong, David Fan, John Nguyen, Ellis Brown, Gaoyue Zhou, Shengyi Qian, Boyang Zheng, Théophane Vallaeys, Junlin Han, Rob Fergus, Naila Murray, Marjan Ghazvininejad, Mike Lewis, Nicolas Ballas, Amir Bar, Michael Rabbat, Jakob Verbeek, Luke Zettlemoyer, Koustuv Sinha, Yann LeCun, Saining Xie

CoRR, March, 2026

Reliable and Responsible Foundation Models: A Comprehensive Survey.

Xinyu Yang, Junlin Han, Rishi Bommasani, Jinqi Luo, Wenjie Qu, Wangchunshu Zhou, Adel Bibi, Xiyao Wang, Jaehong Yoon, Elias Stengel-Eskin, Shengbang Tong, Lingfeng Shen, Rafael Rafailov, Runjia Li, Zhaoyang Wang, Yiyang Zhou, Chenhang Cui, Yu Wang, Wenhao Zheng, Huichi Zhou, Jindong Gu, Zhaorun Chen, Peng Xia, Tony Lee, Thomas P. Zollo, Vikash Sehwag, Jixuan Leng, Jiuhai Chen, Yuxin Wen, Huan Zhang, Zhun Deng, Linjun Zhang, Pavel Izmailov, Pang Wei Koh, Yulia Tsvetkov, Andrew Wilson, Jiaheng Zhang, James Zou, Cihang Xie, Hao Wang, Philip Torr, Julian J. McAuley, David Alvarez-Melis, Florian Tramèr, Kaidi Xu, Suman Jana, Chris Callison-Burch, René Vidal, Filippos Kokkinos, Mohit Bansal, Beidi Chen, Huaxiu Yao

CoRR, February, 2026

2025

EgoEdit: Dataset, Real-Time Streaming Model, and Benchmark for Egocentric Video Editing.

Runjia Li, Moayed Haji-Ali, Ashkan Mirzaei, Chaoyang Wang, Arpit Sahni, Ivan Skorokhodov, Aliaksandr Siarohin, Tomas Jakab, Junlin Han, Sergey Tulyakov, Philip Torr, Willi Menapace

CoRR, December, 2025

From Pixels to Feelings: Aligning MLLMs with Human Cognitive Perception of Images.

Yiming Chen, Junlin Han, Tianyi Bai, Shengbang Tong, Filippos Kokkinos, Philip Torr

CoRR, November, 2025

Scaling Sequence-to-Sequence Generative Neural Rendering.

Shikun Liu, Kam Woh Ng, Wonbong Jang, Jiadong Guo, Junlin Han, Haozhe Liu, Yiannis Douratsos, Juan C. Pérez, Zijian Zhou, Chi Phung, Tao Xiang, Juan-Manuel Pérez-Rúa

CoRR, October, 2025

Learning to See Before Seeing: Demystifying LLM Visual Priors from Language Pre-training.

Junlin Han, Shengbang Tong, David Fan, Yufan Ren, Koustuv Sinha, Philip Torr, Filippos Kokkinos

CoRR, September, 2025

Hallucination at a Glance: Controlled Visual Edits and Fine-Grained Multimodal Learning.

Tianyi Bai, Yuxuan Fan, Jiantao Qiu, Fupeng Sun, Jiayi Song, Junlin Han, Zichen Liu, Conghui He, Wentao Zhang, Binhang Yuan

CoRR, June, 2025

AuralSAM2: Enabling SAM2 Hear Through Pyramid Audio-Visual Feature Prompting.

Yuyuan Liu, Yuanhong Chen, Chong Wang, Junlin Han, Junde Wu, Can Peng, Jingkun Chen, Yu Tian, Gustavo Carneiro

CoRR, June, 2025

VGRP-Bench: Visual Grid Reasoning Puzzle Benchmark for Large Vision-Language Models.

Yufan Ren, Konstantinos Tertikas, Shalini Maiti, Junlin Han, Tong Zhang, Sabine Süsstrunk, Filippos Kokkinos

CoRR, March, 2025

Reliable and Responsible Foundation Models.

Xinyu Yang, Junlin Han, Rishi Bommasani, Jinqi Luo, Wenjie Qu, Wangchunshu Zhou, Adel Bibi, Xiyao Wang, Jaehong Yoon, Elias Stengel-Eskin, Shengbang Tong, Lingfeng Shen, Rafael Rafailov, Runjia Li, Zhaoyang Wang, Yiyang Zhou, Chenhang Cui, Yu Wang, Wenhao Zheng, Huichi Zhou, Jindong Gu, Zhaorun Chen, Peng Xia, Tony Lee, Thomas P. Zollo, Vikash Sehwag, Jixuan Leng, Jiuhai Chen, Yuxin Wen, Huan Zhang, Zhun Deng, Linjun Zhang, Pavel Izmailov, Pang Wei Koh, Yulia Tsvetkov, Andrew Gordon Wilson, Jiaheng Zhang, James Zou, Cihang Xie, Hao Wang, Philip Torr, Julian J. McAuley, David Alvarez-Melis, Florian Tramèr, Kaidi Xu, Suman Jana, Chris Callison-Burch, René Vidal, Filippos Kokkinos, Mohit Bansal, Beidi Chen, Huaxiu Yao

Trans. Mach. Learn. Res., 2025

Unsupervised Decomposition of 3D Shapes into Expressive and Editable Extruded Profile Primitives.

Chunyi Sun, Junlin Han, Runjia Li, Weijian Deng, Dylan Campbell, Stephen Gould

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2025

Flex3D: Feed-Forward 3D Generation with Flexible Reconstruction Model and Input View Curation.

Junlin Han, Jianyuan Wang, Andrea Vedaldi, Philip Torr, Filippos Kokkinos

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language Model.

Zhaochong An, Guolei Sun, Yun Liu, Runjia Li, Junlin Han, Ender Konukoglu, Serge J. Belongie

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

3D-GPT: Procedural 3D Modeling with Large Language Models.

Chunyi Sun, Junlin Han, Weijian Deng, Xinlong Wang, Zishan Qin, Stephen Gould

Proceedings of the International Conference on 3D Vision, 2025

DreamBeast: Distilling 3D Fantastical Animals with Part-Aware Knowledge Transfer.

Runjia Li, Junlin Han, Luke Melas-Kyriazi, Chunyi Sun, Zhaochong An, Zhongrui Gui, Shuyang Sun, Philip Torr, Tomas Jakab

Proceedings of the International Conference on 3D Vision, 2025

2024

Curved Geometric Networks for Visual Anomaly Recognition.

Jie Hong, Pengfei Fang, Weihao Li, Junlin Han, Lars Petersson, Mehrtash Harandi

IEEE Trans. Neural Networks Learn. Syst., December, 2024

Publisher Correction: GOSS: towards generalized open-set semantic segmentation.

Jie Hong, Weihao Li, Junlin Han, Jiyang Zheng, Pengfei Fang, Mehrtash Harandi, Lars Petersson

Vis. Comput., May, 2024

GOSS: towards generalized open-set semantic segmentation.

Jie Hong, Weihao Li, Junlin Han, Jiyang Zheng, Pengfei Fang, Mehrtash Harandi, Lars Petersson

Vis. Comput., April, 2024

Semantic Score Distillation Sampling for Compositional Text-to-3D Generation.

Ling Yang, Zixiang Zhang, Junlin Han, Bohan Zeng, Runjia Li, Philip Torr, Wentao Zhang

CoRR, 2024

Learning-based Multi-View Stereo: A Survey.

Fangjinhua Wang, Qingtian Zhu, Di Chang, Quankai Gao, Junlin Han, Tong Zhang, Richard Hartley, Marc Pollefeys

CoRR, 2024

Strong and Controllable Blind Image Decomposition.

Zeyu Zhang, Junlin Han, Chenhui Gou, Hongdong Li, Liang Zheng

CoRR, 2024

NeRFEditor: Differentiable Style Decomposition for 3D Scene Editing.

Chunyi Sun, Yanbin Liu, Junlin Han, Stephen Gould

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

How Many Are in This Image A Safety Evaluation Benchmark for Vision LLMs.

Haoqin Tu, Chenhang Cui, Zijun Wang, Yiyang Zhou, Bingchen Zhao, Junlin Han, Wangchunshu Zhou, Huaxiu Yao, Cihang Xie

Proceedings of the Computer Vision - ECCV 2024, 2024

VFusion3D: Learning Scalable 3D Generative Models from Video Diffusion Models.

Junlin Han, Filippos Kokkinos, Philip Torr

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs.

Haoqin Tu, Chenhang Cui, Zijun Wang, Yiyang Zhou, Bingchen Zhao, Junlin Han, Wangchunshu Zhou, Huaxiu Yao, Cihang Xie

CoRR, 2023

Hyperbolic Audio-visual Zero-shot Learning.

Jie Hong, Zeeshan Hayder, Junlin Han, Pengfei Fang, Mehrtash Harandi, Lars Petersson

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

2022

Underwater Image Restoration via Contrastive Learning and a Real-World Dataset.

Junlin Han, Mehrdad Shoeiby, Timothy J. Malthus, Elizabeth J. Botha, Janet M. Anstee, Saeed Anwar, Ran Wei, Mohammad Ali Armin, Hongdong Li, Lars Petersson

Remote. Sens., 2022

NeRFEditor: Differentiable Style Decomposition for Full 3D Scene Editing.

Chunyi Sun, Yanbin Liu, Junlin Han, Stephen Gould

CoRR, 2022

What Images are More Memorable to Machines?

Junlin Han, Huangying Zhan, Jie Hong, Pengfei Fang, Hongdong Li, Lars Petersson, Ian D. Reid

CoRR, 2022

CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping.

Junlin Han, Lars Petersson, Hongdong Li, Ian D. Reid

CoRR, 2022

You Only Cut Once: Boosting Data Augmentation with a Single Cut.

Junlin Han, Pengfei Fang, Weihao Li, Jie Hong, Mohammad Ali Armin, Ian D. Reid, Lars Petersson, Hongdong Li

Proceedings of the International Conference on Machine Learning, 2022

Blind Image Decomposition.

Junlin Han, Weihao Li, Pengfei Fang, Chunyi Sun, Jie Hong, Mohammad Ali Armin, Lars Petersson, Hongdong Li

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Single Underwater Image Restoration by Contrastive Learning.

Junlin Han, Mehrdad Shoeiby, Tim J. Malthus, Elizabeth J. Botha, Janet M. Anstee, Saeed Anwar, Ran Wei, Lars Petersson, Mohammad Ali Armin

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Dual Contrastive Learning for Unsupervised Image-to-Image Translation.

Junlin Han, Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin

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

2012

Lack-of-fit tests based on weighted ratio of residuals and variances.

Maozai Tian, Youxi Luo, Yunan Su, Yan Fan, Junlin Han

J. Syst. Sci. Complex., 2012