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MY RESEARCH

I am interested in efficient deep learning, visual tracking, and multi-modality perception. Concretely:

  1. Efficient deep learning: this includes model compression techniques like pruning, quantization, knowledge distillation, sparse training, acceleration, etc.

  2. Visual tracking: this includes short-term(optical flow, etc.) and long-term motion estimation, giving the model a better sense of temporal correspondence. 

  3. Multi-modality perception: this includes perception with fusion from camera+lidar, etc.

 

​I publish under both the names "Xinglong Sun" and "Alex Sun"

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I've been honored to work with Humphrey Shi from SHI/IFP lab at UIUC and GaTech, Yuxiong Wang at UIUC, Jean Ponce at INRIA/NYU, Leonidas Guibas at Stanford, and Jose M. Alvarez 's amazing team at NVIDIA.

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Academic Services: Reviewer for CVPR, WACV, RAL, IROS

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Selected Papers

DiSparse: Disentangled Sparsification for Multitask Model Compression

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X. Sun, A. Hassani, Z. Wang, G. Huang, and H. Shi

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. 

Tag: Efficient deep learning

Code
Code

Hardware-Aware Latency Pruning for Real-Time 3D Object Detection

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M. Shen, L. Mao, J. Chen, X. Sun, O. Knieps, C. Maxim, J. M. Alvarez

2023 IEEE Intelligent Vehicles Symposium (IV) (IEEE IV), 2023

Tag: Efficient deep learning

Code

Pruning for Better Domain Generalizability

 

X. Sun

SCIS Workshop @ International Conference on Machine Learning (ICML), 2023

Tag: Efficient deep learning

Code
Code

Revisiting Deformable Convolution for Depth Completion

 

X. Sun, J. Ponce, Y. Wang

2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023

Tag: Multi-modality perception

Code
Code

Towards Better Structured Pruning Saliency by Reorganizing Convolution

 

X. Sun, H.Shi

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024

Tag: Efficient deep learning

Code
Code

LookAhead Dynamic Sparse Training

 

X. Sun, M. Shen, H. Yin, L. Mao, P. Molchanov, J. M. Alvarez

Under Review

Tag: Efficient deep learning

Code

Refining Pre-Trained Motion Models

 

X. Sun, A.W. Harley, L. Guibas

IEEE International Conference on Robotics and Automation (ICRA), 2024

Tag: Visual tracking 

 

Code

Multi-Dimensional Pruning: Joint Channel, Layer and Block Pruning with Latency Constraint

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X. Sun, B Lakshmanan, M Shen, S Lan, J Chen, J Alvarez

Under review

Tag: Efficient deep learning

 

Code

Advancing Weight and Channel Sparsification with Enhanced Saliency

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X. Sun, M Shen, H Yin, L Mao, P Molchanov, J Alvarez

EEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025

Tag: Efficient deep learning

 

Code

潜光养羽翼，进趣且徐徐。

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