RESEARCH

My research focuses on three main areas: efficient deep learning, visual perception, and autonomous vehicle. Concretely:

Efficient deep learning: pruning, quantization, distillation, sparse training
Visual perception: tracking, motion estimation, multi-modality perception
Autonomous vehicle: end-to-end planning

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

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.

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

Selected Papers

DiSparse: Disentangled Sparsification for Multitask Model Compression

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

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

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

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: Visual perception

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

Refining Pre-Trained Motion Models

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

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

Tag: Visual perception

Code

Advancing Weight and Channel Sparsification with Enhanced Saliency

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

MDP: Multidimensional Vision Model Pruning with Latency Constraint

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

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.

Tag: Efficient deep learning

Code

Enhancing Autonomous Driving Safety with Collision Scenario Integration

Z Wang, S Lan, X. Sun, N Chang, Z Li, Z Yu, J Alvarez

2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025

Tag: Autonomous vehicle

Code

Cosmos-Transfer1: Conditional World Generation with Adaptive Multimodal Control

NVIDIA (X Sun as contributor)

Code

AllTracker: Efficient Dense Point Tracking at High Resolution

A Harley, Y You, X. Sun, Y Zheng, N Raghuraman, Y Gu, S Liang, W Chu, A Dave, P Tokmakov, S You, R Ambrus, K Fragkiadaki, L Guibas

2025 International Conference on Computer Vision (ICCV), 2025
Tag: Visual perception

Code

Generalized Trajectory Scoring for End-to-end Multimodal Planning

Z Li, W Yao, Z Wang, X. Sun, J Chen, N Chang, M Shen, Z Wu, S Lan, J Alvarez
Tag: Autonomous vehicle

Code

DriveSuprim: Towards Precise Trajectory Selection for End-to-End Planning

W Yao, Z Li, S Lan, Z Wang, X. Sun, J Alvarez, Z Wu
Tag: Autonomous vehicle

Code

潜光养羽翼，进趣且徐徐。