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20142024
most citedSimultaneous Detection and Segmentation

198 citations · 410 across the 15 of their papers we have counts for

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12 papers · 1 filter

cs.CV2024

EgoCast: Forecasting Egocentric Human Pose in the Wild

Maria Escobar, Juanita Puentes, Cristhian Forigua +3

Accurately estimating and forecasting human body pose is important for enhancing the user's sense of immersion in Augmented Reality. Addressing this need, our paper introduces EgoC…

cs.CV2024

Deep Learning at the Intersection: Certified Robustness as a Tool for 3D Vision

Gabriel Pérez S, Juan C. Pérez, Motasem Alfarra +4

This paper presents preliminary work on a novel connection between certified robustness in machine learning and the modeling of 3D objects. We highlight an intriguing link between…

cs.CV2024

SpaRED benchmark: Enhancing Gene Expression Prediction from Histology Images with Spatial Transcriptomics Completion

Gabriel Mejia, Daniela Ruiz, Paula Cárdenas +3

Spatial Transcriptomics is a novel technology that aligns histology images with spatially resolved gene expression profiles. Although groundbreaking, it struggles with gene capture…

cs.CV202411 cited

SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge

Dimitrios Psychogyios, Emanuele Colleoni, Beatrice Van Amsterdam +47

Surgical tool segmentation and action recognition are fundamental building blocks in many computer-assisted intervention applications, ranging from surgical skills assessment to de…

cs.CV20238 cited

Multimodal Foundation Models for Zero-shot Animal Species Recognition in Camera Trap Images

Zalan Fabian, Zhongqi Miao, Chunyuan Li +10

Due to deteriorating environmental conditions and increasing human activity, conservation efforts directed towards wildlife is crucial. Motion-activated camera traps constitute an…

cs.CV20231 cited

BoDiffusion: Diffusing Sparse Observations for Full-Body Human Motion Synthesis

Angela Castillo, Maria Escobar, Guillaume Jeanneret +4

Mixed reality applications require tracking the user's full-body motion to enable an immersive experience. However, typical head-mounted devices can only track head and hand moveme…