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Kaisheng Ma

31 papers · 2019–2025 · 7 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+11 more ↓ πŸ—ΊοΈ Taxonomy Completionist (54) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”¬ Deep Specialist (11) πŸ† Keyword Champion (3) 🀝 Dynamic Duo (11) ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner (2) πŸ’Ž Century Club Β· Bronze πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (141)

Venues

CVPR (6) AAAI (5) ICLR (5) NeurIPS (5) ICML (4) ECCV (3) ICCV (3)

Top co-authors

Linfeng Zhang (11) Runpei Dong (8) Chenglong Bao (7) Zekun Qi (5) Li Yi (5) Junbo Zhang (4) Muzhou Yu (4) Zheng Ge (4) Kailu Wu (3) Jiebo Song (3)

Research topics

Deep Learning (24) Machine Learning (24) Application Areas (20) Learning Types Β· Deep Learning (14) Artificial Intelligence (13) Computer Vision (12) Core AI (9) Techniques (8) Analysis (7) Learning Types Β· Machine Learning (7) Generation (5) Learning Paradigms (4) Models (4) Optimization & Theory (3) Architectures (2)

Keywords

knowledge distillation (11) model compression (10) self-supervised learning (4) feature distillation (3) representation learning (3) image generation (3) data augmentation (3) unsupervised learning (2) point cloud (2) cross-modal learning (2) neural network compression (2) feature learning (2) adversarial robustness (2) few-shot learning (2) semantic segmentation (2) image restoration (2) catastrophic forgetting (2) object detection (2) contrastive learning (2) multimodal learning (2)

Papers

MindCustomer: Multi-Context Image Generation Blended with Brain Signal ICML 2025 MindPainter: Efficient Brain-Conditioned Painting of Natural Images via Cross-Modal Self-Supervised Learning AAAI 2025 CutFreq: Cut-and-Swap Frequency Components for Low-Level Vision Augmentation AAAI 2024 DreamLLM: Synergistic Multimodal Comprehension and Creation ICLR 2024 Guiding a Harsh-Environments Robust Detector via RAW Data Characteristic Mining AAAI 2024 Orchestrate Latent Expertise: Advancing Online Continual Learning with Multi-Level Supervision and Reverse Self-Distillation CVPR 2024 ShapeLLM: Universal 3D Object Understanding for Embodied Interaction ECCV 2024 Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image NeurIPS 2024 Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning? ICLR 2023 Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining ICML 2023 Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs ICLR 2023 Language-Assisted 3D Feature Learning for Semantic Scene Understanding AAAI 2023 PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection CVPR 2023 Tiny Updater: Towards Efficient Neural Network-Driven Software Updating ICCV 2023 VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation NeurIPS 2023 Contrastive Deep Supervision ECCV 2022 Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks ICML 2022 MemSR: Training Memory-efficient Lightweight Model for Image Super-Resolution ICML 2022 Rethinking the Augmentation Module in Contrastive Learning: Learning Hierarchical Augmentation Invariance With Expanded Views CVPR 2022 Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation CVPR 2022 AFEC: Active Forgetting of Negative Transfer in Continual Learning NeurIPS 2021 An Unsupervised Deep Learning Approach for Real-World Image Denoising ICLR 2021 Improve Object Detection with Feature-based Knowledge Distillation: Towards Accurate and Efficient Detectors ICLR 2021 An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices ECCV 2020 Auxiliary Training: Towards Accurate and Robust Models CVPR 2020 Light-weight Calibrator: A Separable Component for Unsupervised Domain Adaptation CVPR 2020 PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices AAAI 2020 Task-Oriented Feature Distillation NeurIPS 2020 Adversarial Robustness vs. Model Compression, or Both? ICCV 2019 Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation ICCV 2019 SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models NeurIPS 2019