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04/12/2023
SiLK – Simple Learned Keypoints
Keypoint detection descriptors are foundational tech-nologies for co...
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03/09/2023
Open-world Instance Segmentation: Top-down Learning with Bottom-up Supervision
Many top-down architectures for instance segmentation achieve significan...
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01/09/2023
EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset
Visual object tracking is a key component to many egocentric vision prob...
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11/02/2022
RegCLR: A Self-Supervised Framework for Tabular Representation Learning in the Wild
Recent advances in self-supervised learning (SSL) using large models to ...
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04/12/2022
Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity
Open-world instance segmentation is the task of grouping pixels into obj...
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10/25/2021
Pediatric Otoscopy Video Screening with Shift Contrastive Anomaly Detection
Ear related concerns and symptoms represents the leading indication for ...
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10/15/2021
Learn Proportional Derivative Controllable Latent Space from Pixels
Recent advances in latent space dynamics model from pixels show promisin...
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04/10/2021
Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation
Current state-of-the-art object detection and segmentation methods work ...
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01/26/2021
Generic Event Boundary Detection: A Benchmark for Event Segmentation
This paper presents a novel task together with a new benchmark for detec...
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11/30/2020
Nothing But Geometric Constraints: A Model-Free Method for Articulated Object Pose Estimation
We propose an unsupervised vision-based system to estimate the joint con...
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05/29/2019
What Makes Training Multi-Modal Networks Hard?
Consider end-to-end training of a multi-modal vs. a single-modal network...
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05/01/2019
Stabilized SVRG: Simple Variance Reduction for Nonconvex Optimization
Variance reduction techniques like SVRG provide simple and fast algorith...
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04/24/2019
How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning
Machine learning has been widely applied to various applications, some o...
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06/08/2018
JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets
A new generative adversarial network is developed for joint distribution...
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09/19/2017
