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Kai Chen
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SODA10M: a large-scale 2D self/semi-supervised object detection dataset for autonomous driving
J Han, X Liang, H Xu, K Chen, L Hong, J Mao, C Ye, W Zhang, Z Li, ...
Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track, 2021
84*2021
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving
K Li*, K Chen*, H Wang*, L Hong, C Ye, J Han, Y Chen, W Zhang, C Xu, ...
European Conference on Computer Vision (ECCV), 2022
692022
Multisiam: Self-supervised multi-instance siamese representation learning for autonomous driving
K Chen, L Hong, H Xu, Z Li, DY Yeung
International Conference on Computer Vision (ICCV), 2021
532021
MagicDrive: Street View Generation with Diverse 3D Geometry Control
R Gao*, K Chen*, E Xie, L Hong, Z Li, DY Yeung, Q Xu
International Conference on Learning Representations (ICLR), 2024
332024
Mixed Autoencoder for Self-supervised Visual Representation Learning
K Chen, Z Liu, L Hong, H Xu, Z Li, DY Yeung
Computer Vision and Pattern Recognition (CVPR), 2023
272023
GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation
K Chen, E Xie, Z Chen, Y Wang, L Hong, Z Li, DY Yeung
International Conference on Learning Representations (ICLR), 2024
24*2024
Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning
Y Gou*, Z Liu*, K Chen*, L Hong, H Xu, A Li, DY Yeung, JT Kwok, ...
arXiv preprint arXiv:2312.12379, 2023
242023
Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing
Z Liu, J Han, K Chen, L Hong, H Xu, C Xu, Z Li
AAAI Conference on Artificial Intelligence (AAAI), 2022
21*2022
Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts
Z LIU*, K Chen*, J Han, L HONG, H Xu, Z Li, J Kwok
International Conference on Learning Representations (ICLR) (spotlight), 2023
152023
Gaining wisdom from setbacks: Aligning large language models via mistake analysis
K Chen, C Wang, K Yang, J Han, L Hong, F Mi, H Xu, Z Liu, W Huang, Z Li, ...
International Conference on Learning Representations (ICLR), 2024
142024
Implicit Concept Removal of Diffusion Models
Z Liu*, K Chen*, Y Zhang, J Han, L Hong, H Xu, Z Li, DY Yeung, J Kwok
European Conference on Computer Vision (ECCV), 2024
12*2024
TrackDiffusion: Tracklet-Conditioned Video Generation via Diffusion Models
P Li*, K Chen*, Z Liu*, R Gao, L Hong, G Zhou, H Yao, DY Yeung, ...
arXiv preprint arXiv:2312.00651, 2023
8*2023
Automatic annotation for semantic segmentation in indoor scenes
MA Reza, AU Naik, K Chen, DJ Crandall
International Conference on Intelligent Robots and Systems (IROS), 2019
82019
Eyes Closed, Safety On: Protecting Multimodal LLMs via Image-to-Text Transformation
Y Gou*, K Chen*, Z Liu*, L Hong, H Xu, Z Li, DY Yeung, JT Kwok, Y Zhang
European Conference on Computer Vision (ECCV), 2024
72024
DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception
Y Wang*, R Gao*, K Chen*, K Zhou, Y Cai, L Hong, Z Li, L Jiang, ...
Computer Vision and Pattern Recognition (CVPR), 2024
52024
Automated Evaluation of Large Vision-Language Models on Self-driving Corner Cases
K Chen, Y Li, W Zhang, Y Liu, P Li, R Gao, L Hong, M Tian, X Zhao, Z Li, ...
arXiv preprint arXiv:2404.10595, 2024
42024
Automatic Dense Annotation for Monocular 3D Scene Understanding
MA Reza, K Chen, A Naik, DJ Crandall, SH Jung
IEEE Access, 2020
12020
MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes
R Gao, K Chen, Z Li, L Hong, Z Li, Q Xu
arXiv preprint arXiv:2405.14475, 2024
2024
Mixture of insighTful Experts (MoTE): The Synergy of Thought Chains and Expert Mixtures in Self-Alignment
Z Liu*, Y Gou*, K Chen*, L Hong, J Gao, F Mi, Y Zhang, Z Li, X Jiang, ...
arXiv preprint arXiv:2405.00557, 2024
2024
Supplementary Materials of “MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving”
K Chen, L Hong, H Xu, Z Li, DY Yeung
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