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Jianxin Wu

42 papers · 2011–2025 · 8 conferences · across top CS/AI conferences

Achievements

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+13 more ↓ 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (8) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸƒ Academic Marathon (14)
πŸ—ΊοΈ Taxonomy Completionist (63) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ”¬ Deep Specialist (10) 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ—ƒοΈ Keyword Collector (158) ⚑ Prolific Year (7) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (42) πŸ”₯ Unstoppable (15) ❓ The Questioner

Conferences

CVPR (12) AAAI (9) ICCV (8) ECCV (5) ACML (3) IJCAI (3) JMLR (1) NIPS (1)

Top co-authors

Ke Zhu (8) Minghao Fu (6) Yun-Hao Cao (5) Hao Yu (5) Xiu-Shen Wei (4) Jie Shao (4) Chen-Lin Zhang (4) Zhi-Hua Zhou (3) Weiyao Lin (3) Hao Yang (3)

Keywords

model compression (11) image classification (8) convolutional neural network (5) knowledge distillation (5) representation learning (4) transfer learning (3) few-shot learning (3) multi-instance learning (3) parameter efficiency (3) class imbalance (3) multi-label classification (3) object localization (3) self-supervised learning (3) feature extraction (3) diffusion model (2) neural network pruning (2) label noise (2) semi-supervised learning (2) object recognition (2) generative model (2)

Papers

Treasures in Discarded Weights for LLM Quantization AAAI 2025 All You Need in Knowledge Distillation Is a Tailored Coordinate System AAAI 2025 Minimal Interaction Seperated Tuning: A New Paradigm for Visual Adaptation CVPR 2025 Quantization without Tears CVPR 2025 Memory-Efficient Generative Models via Product Quantization ICCV 2025 DiffuLT: Diffusion for Long-tail Recognition Without External Knowledge NIPS 2024 Rectify the Regression Bias in Long-Tailed Object Detection ECCV 2024 DTL: Disentangled Transfer Learning for Visual Recognition AAAI 2024 Quantized Feature Distillation for Network Quantization AAAI 2023 No One Left Behind: Improving the Worst Categories in Long-Tailed Learning CVPR 2023 Multi-Label Self-Supervised Learning with Scene Images ICCV 2023 Compressing Transformers: Features Are Low-Rank, but Weights Are Not! AAAI 2023 Practical Network Acceleration With Tiny Sets CVPR 2023 Worst Case Matters for Few-Shot Recognition ECCV 2022 A Random CNN Sees Objects: One Inductive Bias of CNN and Its Applications AAAI 2022 Salvage of Supervision in Weakly Supervised Object Detection CVPR 2022 Compressing Models With Few Samples: Mimicking Then Replacing CVPR 2022 ActionFormer: Localizing Moments of Actions with Transformers ECCV 2022 Training Vision Transformers with Only 2040 Images ECCV 2022 Synergistic Self-Supervised and Quantization Learning ECCV 2022 Webly Supervised Fine-Grained Recognition: Benchmark Datasets and an Approach ICCV 2021 Distilling Virtual Examples for Long-Tailed Recognition ICCV 2021 Residual Attention: A Simple but Effective Method for Multi-Label Recognition ICCV 2021 Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks AAAI 2021 Repetitive Reprediction Deep Decipher for Semi-Supervised Learning AAAI 2020 Deep Discriminative CNN with Temporal Ensembling for Ambiguously-Labeled Image Classification AAAI 2020 Rethinking the Route Towards Weakly Supervised Object Localization CVPR 2020 Neural Network Pruning With Residual-Connections and Limited-Data CVPR 2020 Probabilistic End-To-End Noise Correction for Learning With Noisy Labels CVPR 2019 Age Estimation Using Expectation of Label Distribution Learning IJCAI 2018 Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors ICCV 2017 Deep Descriptor Transforming for Image Co-Localization IJCAI 2017 ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression ICCV 2017 Exploit Bounding Box Annotations for Multi-Label Object Recognition CVPR 2016 Person Re-Identification With Correspondence Structure Learning ICCV 2015 Towards Good Practices for Action Video Encoding CVPR 2014 Learning with Augmented Multi-Instance View ACML 2014 Compact Representation for Image Classification: To Choose or to Compress? CVPR 2014 Reduced Heteroscedasticity Linear Regression for NystrΓΆm Approximation IJCAI 2013 Practical Large Scale Classification with Additive Kernels ACML 2012 Key Instance Detection in Multi-Instance Learning ACML 2012 Efficient and Effective Visual Codebook Generation Using Additive Kernels JMLR 2011