research
∙
09/02/2023
SEPAL: Spatial Gene Expression Prediction from Local Graphs
Spatial transcriptomics is an emerging technology that aligns histopatho...
share
research
∙
08/25/2023
STRIDE: Street View-based Environmental Feature Detection and Pedestrian Collision Prediction
This paper introduces a novel benchmark to study the impact and relation...
research
∙
08/07/2023
Guarding the Guardians: Automated Analysis of Online Child Sexual Abuse
Online violence against children has increased globally recently, demand...
research
∙
06/29/2023
EgoCOL: Egocentric Camera pose estimation for Open-world 3D object Localization @Ego4D challenge 2023
We present EgoCOL, an egocentric camera pose estimation method for open-...
research
∙
04/21/2023
BoDiffusion: Diffusing Sparse Observations for Full-Body Human Motion Synthesis
Mixed reality applications require tracking the user's full-body motion ...
research
∙
04/16/2023
JoB-VS: Joint Brain-Vessel Segmentation in TOF-MRA Images
We propose the first joint-task learning framework for brain and vessel ...
research
∙
03/16/2023
MATIS: Masked-Attention Transformers for Surgical Instrument Segmentation
We propose Masked-Attention Transformers for Surgical Instrument Segment...
research
∙
12/08/2022
Towards Holistic Surgical Scene Understanding
Most benchmarks for studying surgical interventions focus on a specific ...
research
∙
07/22/2022
Video Swin Transformers for Egocentric Video Understanding @ Ego4D Challenges 2022
We implemented Video Swin Transformer as a base architecture for the tas...
research
∙
02/10/2022
Towards Assessing and Characterizing the Semantic Robustness of Face Recognition
Deep Neural Networks (DNNs) lack robustness against imperceptible pertur...
research
∙
08/26/2021
A Hierarchical Assessment of Adversarial Severity
Adversarial Robustness is a growing field that evidences the brittleness...
research
∙
08/25/2021
Generalized Real-World Super-Resolution through Adversarial Robustness
Real-world Super-Resolution (SR) has been traditionally tackled by first...
research
∙
07/29/2021
Enhancing Adversarial Robustness via Test-time Transformation Ensembling
Deep learning models are prone to being fooled by imperceptible perturba...
research
∙
07/09/2021
Towards Robust General Medical Image Segmentation
The reliability of Deep Learning systems depends on their accuracy but a...
research
∙
06/03/2021
APES: Audiovisual Person Search in Untrimmed Video
Humans are arguably one of the most important subjects in video streams,...
research
∙
03/24/2021
MIcro-Surgical Anastomose Workflow recognition challenge report
The "MIcro-Surgical Anastomose Workflow recognition on training sessions...
research
∙
07/10/2020
ISINet: An Instance-Based Approach for Surgical Instrument Segmentation
We study the task of semantic segmentation of surgical instruments in ro...
research
∙
07/10/2020
SIMBA: Specific Identity Markers for Bone Age Assessment
Bone Age Assessment (BAA) is a task performed by radiologists to diagnos...
research
∙
06/23/2020
MANTRA: A Machine Learning reference lightcurve dataset for astronomical transient event recognition
We introduce MANTRA, an annotated dataset of 4869 transient and 71207 no...
research
∙
06/13/2020
ClustTR: Clustering Training for Robustness
This paper studies how encouraging semantically-aligned features during ...
research
∙
05/20/2020
Active Speakers in Context
Current methods for active speak er detection focus on modeling short-te...
research
∙
04/28/2020
Classifying Image Sequences of Astronomical Transients with Deep Neural Networks
Supervised classification of temporal sequences of astronomical images i...
research
∙
03/23/2020
Robust Medical Instrument Segmentation Challenge 2019
Intraoperative tracking of laparoscopic instruments is often a prerequis...
research
∙
12/11/2019
Robust Gabor Networks
This work takes a step towards investigating the benefits of merging cla...
research
∙
04/11/2019
MAIN: Multi-Attention Instance Network for Video Segmentation
Instance-level video segmentation requires a solid integration of spatia...
research
∙
04/10/2019
BAOD: Budget-Aware Object Detection
We study the problem of object detection from a novel perspective in whi...
research
∙
12/10/2018
SMIT: Stochastic Multi-Label Image-to-Image Translation
Cross-domain mapping has been a very active topic in recent years. Given...
research
∙
07/06/2018
Dynamic Multimodal Instance Segmentation guided by natural language queries
In this paper, we address the task of segmenting an object given a natur...
research
∙
04/03/2017
The 2017 DAVIS Challenge on Video Object Segmentation
We present the 2017 DAVIS Challenge, a public competition specifically d...
research
∙
01/17/2017
Convolutional Oriented Boundaries: From Image Segmentation to High-Level Tasks
We present Convolutional Oriented Boundaries (COB), which produces multi...
research
∙
09/05/2016
Deep Retinal Image Understanding
This paper presents Deep Retinal Image Understanding (DRIU), a unified f...
research
∙
08/09/2016
Convolutional Oriented Boundaries
We present Convolutional Oriented Boundaries (COB), which produces multi...
research
∙
03/03/2015
Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation
We propose a unified approach for bottom-up hierarchical image segmentat...
research
∙
02/16/2015
Inferring 3D Object Pose in RGB-D Images
The goal of this work is to replace objects in an RGB-D scene with corre...
research
∙
12/19/2014
Learning to Segment Moving Objects in Videos
We segment moving objects in videos by ranking spatio-temporal segment p...
research
∙
11/21/2014
Hypercolumns for Object Segmentation and Fine-grained Localization
Recognition algorithms based on convolutional networks (CNNs) typically ...
research
∙
07/22/2014
Learning Rich Features from RGB-D Images for Object Detection and Segmentation
In this paper we study the problem of object detection for RGB-D images ...
research
∙
07/07/2014