Research
I am broadly interested in scene understanding. That is using visual cues to infer properites of objects and scenes.
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Transientangelo: Few-Viewpoint Surface Reconstruction Using Single-Photon Lidar
Weihan Luo, Anagh Malik, David B. Lindell
WACV, 2025
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arXiv
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Few-view surface reconstruction using single-photon lidar data.
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Flying with Photons: Rendering Novel Views of Propagating Light
Anagh Malik, Noah Juravsky, Ryan Po, Gordon Wetzstein, Kiriakos N. Kutulakos, David B. Lindell
ECCV, 2024   (Oral Presentation)
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arXiv
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Novel view synthesis of arbitrary light propagation videos - including effects such as scattering or interreflections.
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Transient Neural Radiance Fields for Lidar View Synthesis and 3D Reconstruction
Anagh Malik, Parsa Mirdehghan, Sotiris Nousias, Kiriakos N. Kutulakos, David B. Lindell
NeurIPS, 2023   (Spotlight)
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arXiv
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We introduce a method to do novel view lidar synthesis, allowing sparse view scene reconstruction.
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Exploring Neural Representations for Self-Supervised Segmentation
Anagh Malik
Master's Thesis, 2022
We develop a method for self-supervised segmentation through agreement and self-distillation.
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SegDIP: The Unreasonable Effectiveness of Randomly-Initialized CNNs for Interactive Segmentation
Anagh Malik, Shuaifeng Zhi, Marwan Taher, Ronald Clark, Andrew Davison
Technical Report 2021
We train an encoder-decoder network to map from xy-coordinates to RGB values and semantic classes, allowing real-time segmentation of an image.
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