Jun Chen

Orcid: 0000-0001-6568-8801

Affiliations:
  • Zhejiang University, Institute of Cyber-Systems and Control, China
  • Zhejiang University, Laboratory of Advanced Perception on Robotics and Intelligent Learning, College of Control Science and Engineering, Hangzhou, China (PhD 2007)


According to our database1, Jun Chen authored at least 24 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
AutoDFP: Automatic Data-Free Pruning via Channel Similarity Reconstruction.
CoRR, 2024

M2-CLIP: A Multimodal, Multi-task Adapting Framework for Video Action Recognition.
CoRR, 2024

A Multimodal, Multi-Task Adapting Framework for Video Action Recognition.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Data-free quantization via mixed-precision compensation without fine-tuning.
Pattern Recognit., November, 2023

Learning SpatioTemporal and Motion Features in a Unified 2D Network for Action Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

CR-SFP: Learning Consistent Representation for Soft Filter Pruning.
CoRR, 2023

SUBP: Soft Uniform Block Pruning for 1xN Sparse CNNs Multithreading Acceleration.
CoRR, 2023

Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold.
CoRR, 2023

Unified Data-Free Compression: Pruning and Quantization without Fine-Tuning.
CoRR, 2023

Learning Global-aware Kernel for Image Harmonization.
CoRR, 2023

Learning Discretized Neural Networks under Ricci Flow.
CoRR, 2023

SUBP: Soft Uniform Block Pruning for 1×N Sparse CNNs Multithreading Acceleration.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
3QNet: 3D Point Cloud Geometry Quantization Compression Network.
ACM Trans. Graph., 2022

Fast Point Cloud Sampling Network.
Pattern Recognit. Lett., 2022

SuperLine3D: Self-supervised Line Segmentation and Description for LiDAR Point Cloud.
Proceedings of the Computer Vision - ECCV 2022, 2022

Resolution-Free Point Cloud Sampling Network with Data Distillation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Learning to Train a Point Cloud Reconstruction Network Without Matching.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
A Learning Framework for n-Bit Quantized Neural Networks Toward FPGAs.
IEEE Trans. Neural Networks Learn. Syst., 2021

Pruning by Training: A Novel Deep Neural Network Compression Framework for Image Processing.
IEEE Signal Process. Lett., 2021

Dynamically Stable Poincaré Embeddings for Neural Manifolds.
CoRR, 2021

Thoughts on the Consistency between Ricci Flow and Neural Network Behavior.
CoRR, 2021

2020
Propagating Asymptotic-Estimated Gradients for Low Bitwidth Quantized Neural Networks.
IEEE J. Sel. Top. Signal Process., 2020

APB2FaceV2: Real-Time Audio-Guided Multi-Face Reenactment.
CoRR, 2020

Tracking an Object over 200 FPS with the Fusion of Prior Probability and Kalman Filter.
Proceedings of the ICMLC 2020: 2020 12th International Conference on Machine Learning and Computing, 2020


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