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08/25/2023
Hyperbolic Random Forests
Hyperbolic space is becoming a popular choice for representing data due ...
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06/16/2023
Multi-Label Meta Weighting for Long-Tailed Dynamic Scene Graph Generation
This paper investigates the problem of scene graph generation in videos ...
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06/09/2023
HypLL: The Hyperbolic Learning Library
Deep learning in hyperbolic space is quickly gaining traction in the fie...
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06/08/2023
Focus for Free in Density-Based Counting
This work considers supervised learning to count from images and their c...
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05/17/2023
Infinite Class Mixup
Mixup is a widely adopted strategy for training deep networks, where add...
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05/11/2023
Hyperbolic Deep Learning in Computer Vision: A Survey
Deep representation learning is a ubiquitous part of modern computer vis...
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03/24/2023
Poincaré ResNet
This paper introduces an end-to-end residual network that operates entir...
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12/06/2022
Multi-Task Edge Prediction in Temporally-Dynamic Video Graphs
Graph neural networks have shown to learn effective node representations...
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08/13/2022
Self-Contained Entity Discovery from Captioned Videos
This paper introduces the task of visual named entity discovery in video...
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06/17/2022
Maximum Class Separation as Inductive Bias in One Matrix
Maximizing the separation between classes constitutes a well-known induc...
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04/19/2022
Less than Few: Self-Shot Video Instance Segmentation
The goal of this paper is to bypass the need for labelled examples in fe...
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03/11/2022
Hyperbolic Image Segmentation
For image segmentation, the current standard is to perform pixel-level o...
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03/08/2022
Universal Prototype Transport for Zero-Shot Action Recognition and Localization
This work addresses the problem of recognizing action categories in vide...
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10/26/2021
Zero-Shot Action Recognition from Diverse Object-Scene Compositions
This paper investigates the problem of zero-shot action recognition, in ...
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10/25/2021
Diagnosing Errors in Video Relation Detectors
Video relation detection forms a new and challenging problem in computer...
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08/18/2021
Social Fabric: Tubelet Compositions for Video Relation Detection
This paper strives to classify and detect the relationship between objec...
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07/19/2021
Frequency-Supervised MR-to-CT Image Synthesis
This paper strives to generate a synthetic computed tomography (CT) imag...
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07/02/2021
On Measuring and Controlling the Spectral Bias of the Deep Image Prior
The deep image prior has demonstrated the remarkable ability that untrai...
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06/28/2021
Hyperbolic Busemann Learning with Ideal Prototypes
Hyperbolic space has become a popular choice of manifold for representat...
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06/02/2021
Unsharp Mask Guided Filtering
The goal of this paper is guided image filtering, which emphasizes the i...
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04/10/2021
Object Priors for Classifying and Localizing Unseen Actions
This work strives for the classification and localization of human actio...
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04/06/2021
Few-Shot Transformation of Common Actions into Time and Space
This paper introduces the task of few-shot common action localization in...
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11/01/2020
Adversarial Self-Supervised Scene Flow Estimation
This work proposes a metric learning approach for self-supervised scene ...
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08/14/2020
PointMixup: Augmentation for Point Clouds
This paper introduces data augmentation for point clouds by interpolatio...
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08/13/2020
Localizing the Common Action Among a Few Videos
This paper strives to localize the temporal extent of an action in a lon...
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11/19/2019
Open Cross-Domain Visual Search
This paper introduces open cross-domain visual search, where categories ...
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10/22/2019
4-Connected Shift Residual Networks
The shift operation was recently introduced as an alternative to spatial...
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03/28/2019
Counting with Focus for Free
This paper aims to count arbitrary objects in images. The leading counti...
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01/29/2019
Hyperspherical Prototype Networks
This paper introduces hyperspherical prototype networks, which unify reg...
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07/08/2018
Spatio-Temporal Instance Learning: Action Tubes from Class Supervision
The goal of this paper is spatio-temporal localization of human actions ...
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05/29/2018
Pointly-Supervised Action Localization
This paper strives for spatio-temporal localization of human actions in ...
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07/28/2017
Spatial-Aware Object Embeddings for Zero-Shot Localization and Classification of Actions
We aim for zero-shot localization and classification of human actions in...
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07/28/2017
Localizing Actions from Video Labels and Pseudo-Annotations
The goal of this paper is to determine the spatio-temporal location of a...
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04/26/2016
Spot On: Action Localization from Pointly-Supervised Proposals
We strive for spatio-temporal localization of actions in videos. The sta...
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02/23/2016
The ImageNet Shuffle: Reorganized Pre-training for Video Event Detection
This paper strives for video event detection using a representation lear...
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10/16/2015