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27 papers · 1 filter
MorphoCLIP: Text-Supervised Contrastive Learning for Perturbation Matching in Cell Painting Images
Sukhrobbek Ilyosbekov, Shubham Gajjar, Rongfei Jin
Cell Painting microscopy captures how cells change after a chemical or genetic perturbation. Connecting these images to the perturbations that produced them could make large imagin…
Log NeRF: Comparing Spaces for Learning Radiance Fields
Sihe Chen, Luv Verma, Bruce A. Maxwell
Neural Radiance Fields (NeRF) have achieved remarkable results in novel view synthesis, typically using sRGB images for supervision. However, little attention has been paid to the…
Opening the Black Box of 3D Reconstruction Error Analysis with VECTOR
Racquel Fygenson, Kazi Jawad, Isabel Li +5
Reconstruction of 3D scenes from 2D images is a technical challenge that impacts domains from Earth and planetary sciences and space exploration to augmented and virtual reality. T…
ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers
Husheng Han, Kaidi Xu, Xing Hu +6
Adversarial patch attacks that craft the pixels in a confined region of the input images show their powerful attack effectiveness in physical environments even with noises or defor…
Self-Supervised Decomposition, Disentanglement and Prediction of Video Sequences while Interpreting Dynamics: A Koopman Perspective
Armand Comas, Sandesh Ghimire, Haolin Li +2
Human interpretation of the world encompasses the use of symbols to categorize sensory inputs and compose them in a hierarchical manner. One of the long-term objectives of Computer…
Semantic Dense Reconstruction with Consistent Scene Segments
Yingcai Wan, Yanyan Li, Yingxuan You +3
In this paper, a method for dense semantic 3D scene reconstruction from an RGB-D sequence is proposed to solve high-level scene understanding tasks. First, each RGB-D pair is consi…