Ma, Kaisheng

30 publications

ICML 2025 MindCustomer: Multi-Context Image Generation Blended with Brain Signal Muzhou Yu, Shuyun Lin, Lei Ma, Bo Lei, Kaisheng Ma

AAAI 2025 MindPainter: Efficient Brain-Conditioned Painting of Natural Images via Cross-Modal Self-Supervised Learning Muzhou Yu, Shuyun Lin, Hongwei Yan, Kaisheng Ma

NeurIPS 2025 SoFar: Language-Grounded Orientation Bridges Spatial Reasoning and Object Manipulation Zekun Qi, Wenyao Zhang, Yufei Ding, Runpei Dong, XinQiang Yu, Jingwen Li, Lingyun Xu, Baoyu Li, Xialin He, Guofan Fan, Jiazhao Zhang, Jiawei He, Jiayuan Gu, Xin Jin, Kaisheng Ma, Zhizheng Zhang, He Wang, Li Yi

AAAI 2024 CutFreq: Cut-and-Swap Frequency Components for Low-Level Vision Augmentation Hongyang Chen, Kaisheng Ma

ICLR 2024 DreamLLM: Synergistic Multimodal Comprehension and Creation Runpei Dong, Chunrui Han, Yuang Peng, Zekun Qi, Zheng Ge, Jinrong Yang, Liang Zhao, Jianjian Sun, Hongyu Zhou, Haoran Wei, Xiangwen Kong, Xiangyu Zhang, Kaisheng Ma, Li Yi

AAAI 2024 Guiding a Harsh-Environments Robust Detector via RAW Data Characteristic Mining Hongyang Chen, Hung-Shuo Tai, Kaisheng Ma

CVPR 2024 Orchestrate Latent Expertise: Advancing Online Continual Learning with Multi-Level Supervision and Reverse Self-Distillation Hongwei Yan, Liyuan Wang, Kaisheng Ma, Yi Zhong

ECCV 2024 ShapeLLM: Universal 3D Object Understanding for Embodied Interaction Zekun Qi, Runpei Dong, Shaochen Zhang, Haoran Geng, Chunrui Han, Zheng Ge, Li Yi, Kaisheng Ma

NeurIPS 2024 Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image Kailu Wu, Fangfu Liu, Zhihan Cai, Runjie Yan, Hanyang Wang, Yating Hu, Yueqi Duan, Kaisheng Ma

ICLR 2023 Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning? Runpei Dong, Zekun Qi, Linfeng Zhang, Junbo Zhang, Jianjian Sun, Zheng Ge, Li Yi, Kaisheng Ma

ICCVW 2023 CLIP-FO3D: Learning Free Open-World 3D Scene Representations from 2D Dense CLIP Junbo Zhang, Runpei Dong, Kaisheng Ma

ICML 2023 Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining Zekun Qi, Runpei Dong, Guofan Fan, Zheng Ge, Xiangyu Zhang, Kaisheng Ma, Li Yi

ICLR 2023 Hebbian and Gradient-Based Plasticity Enables Robust Memory and Rapid Learning in RNNs Yu Duan, Zhongfan Jia, Qian Li, Yi Zhong, Kaisheng Ma

AAAI 2023 Language-Assisted 3D Feature Learning for Semantic Scene Understanding Junbo Zhang, Guofan Fan, Guanghan Wang, Zhengyuan Su, Kaisheng Ma, Li Yi

CVPR 2023 PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection Linfeng Zhang, Runpei Dong, Hung-Shuo Tai, Kaisheng Ma

ICCV 2023 Tiny Updater: Towards Efficient Neural Network-Driven Software Updating Linfeng Zhang, Kaisheng Ma

NeurIPS 2023 VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation Zekun Qi, Muzhou Yu, Runpei Dong, Kaisheng Ma

ECCV 2022 Contrastive Deep Supervision Linfeng Zhang, Xin Chen, Junbo Zhang, Runpei Dong, Kaisheng Ma

CVPRW 2022 Few-Shot Supervised Prototype Alignment for Pedestrian Detection on Fisheye Images Thaddäus Wiedemer, Stefan Wolf, Arne Schumann, Kaisheng Ma, Jürgen Beyerer

ICML 2022 Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks Runpei Dong, Zhanhong Tan, Mengdi Wu, Linfeng Zhang, Kaisheng Ma

ICML 2022 MemSR: Training Memory-Efficient Lightweight Model for Image Super-Resolution Kailu Wu, Chung-Kuei Lee, Kaisheng Ma

CVPR 2022 Rethinking the Augmentation Module in Contrastive Learning: Learning Hierarchical Augmentation Invariance with Expanded Views Junbo Zhang, Kaisheng Ma

CVPR 2022 Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation Linfeng Zhang, Xin Chen, Xiaobing Tu, Pengfei Wan, Ning Xu, Kaisheng Ma

NeurIPS 2021 AFEC: Active Forgetting of Negative Transfer in Continual Learning Liyuan Wang, Mingtian Zhang, Zhongfan Jia, Qian Li, Chenglong Bao, Kaisheng Ma, Jun Zhu, Yi Zhong

ICLR 2021 An Unsupervised Deep Learning Approach for Real-World Image Denoising Dihan Zheng, Sia Huat Tan, Xiaowen Zhang, Zuoqiang Shi, Kaisheng Ma, Chenglong Bao

ICLR 2021 Improve Object Detection with Feature-Based Knowledge Distillation: Towards Accurate and Efficient Detectors Linfeng Zhang, Kaisheng Ma

ECCV 2020 An Image Enhancing Pattern-Based Sparsity for Real-Time Inference on Mobile Devices Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Sheng Lin, Hongjia Li, Wujie Wen, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang

AAAI 2020 PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices Xiaolong Ma, Fu-Ming Guo, Wei Niu, Xue Lin, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang

NeurIPS 2020 Task-Oriented Feature Distillation Linfeng Zhang, Yukang Shi, Zuoqiang Shi, Kaisheng Ma, Chenglong Bao

NeurIPS 2019 SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models Linfeng Zhang, Zhanhong Tan, Jiebo Song, Jingwei Chen, Chenglong Bao, Kaisheng Ma