A Scalable Training Strategy for Blind Multi-Distribution Noise Removal Kevin Zhang, Sakshum Kulshrestha, Christopher A. Metzler IEEE Transactions on Image Processing — 2024 [paper] [read more]
	Hyper-Diffusion: Estimating Epistemic and Aleatoric Uncertainty with a Single Model Matthew A. Chan, Maria J. Molina, Christopher A. Metzler Conference on Neural Information Processing Systems (NeurIPS) — 2024 [paper] [read more]
	Temporally Consistent Atmospheric Turbulence Mitigation with Neural Representations Haoming Cai*, Jingxi Chen*, Brandon Y. Feng, Weiyun Jiang, Mingyang Xie, Kevin Zhang, Cornelia Fermuller, Yiannis Aloimonos, Ashok Veeraraghavan, Christopher A. Metzler Conference on Neural Information Processing Systems (NeurIPS) — 2024 [paper] [read more]
	Flash-Splat: 3D Reflection Removal with Flash Cues and Gaussian Splats Mingyang Xie*, Haoming Cai*, Sachin Shah, Yiran Xu, Brandon Y. Feng, Jia-Bin Huang, Christopher A. Metzler European Conference on Computer Vision (ECCV) — 2024 [paper] [project] [read more]
	Event3DGS: Event-Based 3D Gaussian Splatting for High-Speed Robot Egomotion Tianyi Xiong*, Jiayi Wu*, Botao He, Cornelia Fermuller, Yiannis Aloimonos, Heng Huang, Christopher A. Metzler 8th Annual Conference on Robot Learning (CoRL) — 2024 [paper] [project] [read more]
	AONeuS: A Neural Rendering Framework for Acoustic-Optical Sensor Fusion Mohamad Qadri*, Kevin Zhang*, Akshay Hinduja, Michael Kaess, Adithya Pediredla, Christopher A. Metzler SIGGRAPH — 2024 [paper] [project] [read more]
	CodedVO: Coded Visual Odometry Sachin Shah*, Naitri Rajyaguru*, Chahat Deep Singh, Christopher A. Metzler**, Yiannis Aloimonos** IEEE Robotics and Automation Letters (RA-L) — 2024 [paper] [project] [read more]
	High-Resolution Range Profile Target Recognition with Neuromorphic ADCs and Spiking Neural Networks Sanjaya Herath, Matthew R. Ziemann, Kevin Wagner, Christopher A. Metzler IEEE Radar Conference — 2024 [paper] [read more]
	WaveMo: Learning Wavefront Modulations to See Through Scattering Mingyang Xie*, Haiyun Guo*, Brandon Y. Feng, Lingbo Jin, Ashok Veeraraghavan, Christopher A. Metzler Conference on Computer Vision and Pattern Recognition (CVPR) — 2024 [paper] [project] [read more]
	Seeing the World through Your Eyes Hadi Alzayer*, Kevin Zhang*, Brandon Y. Feng, Christopher A. Metzler, Jia-Bin Huang Conference on Computer Vision and Pattern Recognition (CVPR) — 2024 [paper] [project] [read more]
	CodedEvents: Optimal Point-Spread-Function Engineering for 3D-Tracking with Event Cameras Sachin Shah, Matthew A. Chan, Haoming Cai, Jingxi Chen, Sakshum Kulshrestha, Chahat Deep Singh, Yiannis Aloimonos, Christopher A. Metzler Conference on Computer Vision and Pattern Recognition (CVPR) — 2024 [paper] [read more]
	FPM-INR: Fourier Ptychographic Microscopy Image Stack Reconstruction Using Implicit Neural Representations Haowen Zhou*, Brandon Y. Feng*, Haiyun Guo, Siyu Lin, Mingshu Liang, Christopher A. Metzler**, Changhuei Yang** Optica — 2023 [paper] [read more]
	SUD2: Supervision by Denoising Diffusion Models for Image Reconstruction Matthew A. Chan, Sean I. Young, Christopher A. Metzler NeurIPS Workshop on Deep Learning and Inverse Problems — 2023 [paper] [read more]
	Multimodal Neural Surface Reconstruction: Recovering the Geometry and Appearance of 3D Scenes from Events and Grayscale Images Sazan Mahbub, Brandon Y. Feng, Christopher A. Metzler NeurIPS Workshop on Deep Learning and Inverse Problems — 2023 [paper] [read more]
	Adaptive LPD Radar Waveform Design with Generative Adversarial Neural Networks Matthew R. Ziemann, Christopher A. Metzler 57th Asilomar Conference on Signals, Systems, and Computers — 2023 [paper] [read more]
	TiDy-PSFs: Computational Imaging with Time-Averaged Dynamic Point-Spread-Functions Sachin Shah*, Sakshum Kulshrestha*, Christopher A. Metzler International Conference on Computer Vision (ICCV) — 2023 [paper] [read more]
	Neural Wavefront Shaping in the Photon-Starved Regime Brandon Y. Feng*, Haiyun Guo*, Mingyang Xie, Vivek Boominathan, Manoj K. Sharma, Ashok Veeraraghavan**, Christopher A. Metzler** Computational Optical Sensing and Imaging — 2023 [paper] [read more]
	NeuWS: Neural wavefront shaping for guidestar-free imaging through static and dynamic scattering media Brandon Y. Feng*, Haiyun Guo*, Mingyang Xie, Vivek Boominathan, Manoj K. Sharma, Ashok Veeraraghavan**, Christopher A. Metzler** Science Advances — 2023 [paper] [code] [read more]
	Weakly-Supervised Semantic Segmentation of Ships Using Thermal Imagery Rushil Joshi*, Ethan Adams*, Matthew R. Ziemann, Christopher A. Metzler Workshop on Naval Applications of Machine Learning — 2023 [paper] [read more]
	Transformers for Robust Radar Waveform Classification Matthew R. Ziemann, Christopher A. Metzler 56th Asilomar Conference on Signals, Systems, and Computers — 2022 [paper] [read more]
	Adversarial Sensing: A Learning-Based Approach to Inverse Problems with Stochastic Forward Models Brandon Y. Feng, Mingyang Xie, Christopher A. Metzler Emerging Topics in Artificial Intelligence — 2022 [paper] [read more]
	Turbugan: An Adversarial Learning Approach to Spatially-Varying Multiframe Blind Deconvolution with Applications to Imaging Through Turbulence Brandon Y. Feng*, Mingyang Xie*, Christopher A. Metzler IEEE Journal on Selected Areas in Information Theory — 2022 [paper] [read more]
	Adversarial Sensing for Sub-Diffraction Imaging Brandon Y. Feng, Christopher A. Metzler Computational Optical Sensing and Imaging — 2022 [paper] [read more]