Alex Wong

According to our database, Alex Wong authored at least 49 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

CLAP: Unsupervised 3D Representation Learning for Fusion 3D Perception via Curvature Sampling and Prototype Learning.

Runjian Chen, Hang Zhang, Avinash Ravichandran, Wenqi Shao, Alex Wong, Ping Luo

CoRR, 2024

TREND: Unsupervised 3D Representation Learning via Temporal Forecasting for LiDAR Perception.

Runjian Chen, Hyoungseob Park, Bo Zhang, Wenqi Shao, Ping Luo, Alex Wong

CoRR, 2024

PriorDiffusion: Leverage Language Prior in Diffusion Models for Monocular Depth Estimation.

Ziyao Zeng, Jingcheng Ni, Daniel Wang, Patrick Rim, Younjoon Chung, Fengyu Yang, Byung-Woo Hong, Alex Wong

CoRR, 2024

UnCLe: Unsupervised Continual Learning of Depth Completion.

Suchisrit Gangopadhyay, Xien Chen, Michael Chu, Patrick Rim, Hyoungseob Park, Alex Wong

CoRR, 2024

RSA: Resolving Scale Ambiguities in Monocular Depth Estimators through Language Descriptions.

Ziyao Zeng, Yangchao Wu, Hyoungseob Park, Daniel Wang, Fengyu Yang, Stefano Soatto, Dong Lao, Byung-Woo Hong, Alex Wong

CoRR, 2024

NeuroBind: Towards Unified Multimodal Representations for Neural Signals.

Fengyu Yang, Chao Feng, Daniel Wang, Tianye Wang, Ziyao Zeng, Zhiyang Xu, Hyoungseob Park, Pengliang Ji, Hanbin Zhao, Yuanning Li, Alex Wong

CoRR, 2024

WorDepth: Variational Language Prior for Monocular Depth Estimation.

Ziyao Zeng, Daniel Wang, Fengyu Yang, Hyoungseob Park, Yangchao Wu, Stefano Soatto, Byung-Woo Hong, Dong Lao, Alex Wong

CoRR, 2024

WeatherProof: Leveraging Language Guidance for Semantic Segmentation in Adverse Weather.

Blake Gella, Howard Zhang, Rishi Upadhyay, Tiffany Chang, Nathan Wei, Matthew Waliman, Yunhao Bao, Celso de Melo, Alex Wong, Achuta Kadambi

CoRR, 2024

GT-Rain Single Image Deraining Challenge Report.

Howard Zhang, Yunhao Ba, Ethan Yang, Rishi Upadhyay, Alex Wong, Achuta Kadambi, Yun Guo, Xueyao Xiao, Xiaoxiong Wang, Yi Li, Yi Chang, Luxin Yan, Chaochao Zheng, Luping Wang, Bin Liu, Sunder Ali Khowaja, Jiseok Yoon, Ikhyun Lee, Zhao Zhang, Yanyan Wei, Jiahuan Ren, Suiyi Zhao, Huan Zheng

CoRR, 2024

All-day Depth Completion.

Vadim Ezhov, Hyoungseob Park, Zhaoyang Zhang, Rishi Upadhyay, Howard Zhang, Chethan Chinder Chandrappa, Achuta Kadambi, Yunhao Ba, Julie Dorsey, Alex Wong

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Sub-token ViT Embedding via Stochastic Resonance Transformers.

Dong Lao, Yangchao Wu, Tian Yu Liu, Alex Wong, Stefano Soatto

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Adaptive Correspondence Scoring for Unsupervised Medical Image Registration.

Xiaoran Zhang, John C. Stendahl, Lawrence H. Staib, Albert J. Sinusas, Alex Wong, James S. Duncan

Proceedings of the Computer Vision - ECCV 2024, 2024

AugUndo: Scaling Up Augmentations for Monocular Depth Completion and Estimation.

Yangchao Wu, Tian Yu Liu, Hyoungseob Park, Stefano Soatto, Dong Lao, Alex Wong

Proceedings of the Computer Vision - ECCV 2024, 2024

On the Viability of Monocular Depth Pre-training for Semantic Segmentation.

Dong Lao, Fengyu Yang, Daniel Wang, Hyoungseob Park, Samuel Lu, Alex Wong, Stefano Soatto

Proceedings of the Computer Vision - ECCV 2024, 2024

WorDepth: Variational Language Prior for Monocular Depth Estimation.

Ziyao Zeng, Daniel Wang, Fengyu Yang, Hyoungseob Park, Stefano Soatto, Dong Lao, Alex Wong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Binding Touch to Everything: Learning Unified Multimodal Tactile Representations.

Fengyu Yang, Chao Feng, Ziyang Chen, Hyoungseob Park, Daniel Wang, Yiming Dou, Ziyao Zeng, Xien Chen, Rit Gangopadhyay, Andrew Owens, Alex Wong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Test- Time Adaptation for Depth Completion.

Hyoungseob Park, Anjali Gupta, Alex Wong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Diffeomorphic Template Registration for Atmospheric Turbulence Mitigation.

Dong Lao, Congli Wang, Alex Wong, Stefano Soatto

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Enhancing Diffusion Models with 3D Perspective Geometry Constraints.

Rishi Upadhyay, Howard Zhang, Yunhao Ba, Ethan Yang, Blake Gella, Sicheng Jiang, Alex Wong, Achuta Kadambi

ACM Trans. Graph., December, 2023

WeatherProof: A Paired-Dataset Approach to Semantic Segmentation in Adverse Weather.

Blake Gella, Howard Zhang, Rishi Upadhyay, Tiffany Chang, Matthew Waliman, Yunhao Ba, Alex Wong, Achuta Kadambi

CoRR, 2023

AugUndo: Scaling Up Augmentations for Unsupervised Depth Completion.

Yangchao Wu, Tian Yu Liu, Hyoungseob Park, Stefano Soatto, Dong Lao, Alex Wong

CoRR, 2023

DEUX: Active Exploration for Learning Unsupervised Depth Perception.

Marvin Chancán, Alex Wong, Ian Abraham

CoRR, 2023

WeatherStream: Light Transport Automation of Single Image Deweathering.

Howard Zhang, Yunhao Ba, Ethan Yang, Varan Mehra, Blake Gella, Akira Suzuki, Arnold Pfahnl, Chethan Chinder Chandrappa, Alex Wong, Achuta Kadambi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Depth Estimation from Camera Image and mmWave Radar Point Cloud.

Akash Deep Singh, Yunhao Ba, Ankur Sarker, Howard Zhang, Achuta Kadambi, Stefano Soatto, Mani B. Srivastava, Alex Wong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Stain-invariant self supervised learning for histopathology image analysis.

Alexandre Tiard, Alex Wong, David Joon Ho, Yangchao Wu, Eliram Nof, Stefano Soatto, Saad Nadeem

CoRR, 2022

Towards Ground Truth for Single Image Deraining.

Yunhao Ba, Howard Zhang, Ethan Yang, Akira Suzuki, Arnold Pfahnl, Chethan Chinder Chandrappa, Celso de Melo, Suya You, Stefano Soatto, Alex Wong, Achuta Kadambi

CoRR, 2022

Does Monocular Depth Estimation Provide Better Pre-training than Classification for Semantic Segmentation?

Dong Lao, Alex Wong, Stefano Soatto

CoRR, 2022

MIPI 2022 Challenge on RGB+ToF Depth Completion: Dataset and Report.

Wenxiu Sun, Qingpeng Zhu, Chongyi Li, Ruicheng Feng, Shangchen Zhou, Jun Jiang, Qingyu Yang, Chen Change Loy, Jinwei Gu, Dewang Hou, Kai Zhao, Liying Lu, Yu Li, Huaijia Lin, Ruizheng Wu, Jiangbo Lu, Jiaya Jia, Qiang Liu, Haosong Yue, Danyang Cao, Lehang Yu, Jiaxuan Quan, Jixiang Liang, Yufei Wang, Yuchao Dai, Peng Yang, Hu Yan, Houbiao Liu, Siyuan Su, Xuanhe Li, Rui Ren, Yunlong Liu, Yufan Zhu, Dong Lao, Alex Wong, Katie Chang

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Monitored Distillation for Positive Congruent Depth Completion.

Tian Yu Liu, Parth Agrawal, Allison Chen, Byung-Woo Hong, Alex Wong

Proceedings of the Computer Vision - ECCV 2022, 2022

Not Just Streaks: Towards Ground Truth for Single Image Deraining.

Yunhao Ba, Howard Zhang, Ethan Yang, Akira Suzuki, Arnold Pfahnl, Chethan Chinder Chandrappa, Celso M. de Melo, Suya You, Stefano Soatto, Alex Wong, Achuta Kadambi

Proceedings of the Computer Vision - ECCV 2022, 2022

Stereoscopic Universal Perturbations across Different Architectures and Datasets.

Zachary Berger, Parth Agrawal, Tian Yu Liu, Stefano Soatto, Alex Wong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

An Adaptive Framework for Learning Unsupervised Depth Completion.

Alex Wong, Xiaohan Fei, Byung-Woo Hong, Stefano Soatto

IEEE Robotics Autom. Lett., 2021

Learning Topology From Synthetic Data for Unsupervised Depth Completion.

Alex Wong, Safa Cicek, Stefano Soatto

IEEE Robotics Autom. Lett., 2021

Unsupervised Depth Completion with Calibrated Backprojection Layers.

Alex Wong, Stefano Soatto

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Small Lesion Segmentation in Brain MRIs with Subpixel Embedding.

Alex Wong, Allison Chen, Yangchao Wu, Safa Cicek, Alexandre Tiard, Byung-Woo Hong, Stefano Soatto

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations.

Alex Wong, Mukund Mundhra, Stefano Soatto

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Unsupervised Depth Completion From Visual Inertial Odometry.

Alex Wong, Xiaohan Fei, Stephanie Tsuei, Stefano Soatto

IEEE Robotics Autom. Lett., 2020

Targeted Adversarial Perturbations for Monocular Depth Prediction.

Alex Wong, Safa Cicek, Stefano Soatto

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Exploiting Regularities to Recover 3D Scene Geometry

Alex Wong

PhD thesis, 2019

Geo-Supervised Visual Depth Prediction.

Xiaohan Fei, Alex Wong, Stefano Soatto

IEEE Robotics Autom. Lett., 2019

VOICED: Depth Completion from Inertial Odometry and Vision.

Alex Wong, Xiaohan Fei, Stefano Soatto

CoRR, 2019

Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction.

Alex Wong, Byung-Woo Hong, Stefano Soatto

CoRR, 2019

Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction.

Alex Wong, Stefano Soatto

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Dense Depth Posterior (DDP) From Single Image and Sparse Range.

Yanchao Yang, Alex Wong, Stefano Soatto

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017

Exploiting Protrusion Cues for Fast and Effective Shape Modeling via Ellipses.

Alex Wong, Alan L. Yuille, Brian Taylor

Proceedings of the British Machine Vision Conference 2017, 2017

2015

Open textbooks: engaging education stakeholders to share learning resources.

Simon K. S. Cheung, K. S. Yuen, Kam Cheong Li, Eva Y. M. Tsang, Alex Wong

Int. J. Serv. Stand., 2015

Fidelity-Naturalness Evaluation of Single Image Super Resolution.

Xuan Dong, Yu Zhu, Weixin Li, Lingxi Xie, Alex Wong, Alan L. Yuille

CoRR, 2015

One Shot Learning via Compositions of Meaningful Patches.

Alex Wong, Alan L. Yuille

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2011

Fast and Accurate k-means For Large Datasets.

Michael Shindler, Alex Wong, Adam Meyerson

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011