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09/18/2023
Unsupervised Open-Vocabulary Object Localization in Videos
In this paper, we show that recent advances in video representation lear...
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09/01/2023
Object-Centric Multiple Object Tracking
Unsupervised object-centric learning methods allow the partitioning of s...
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05/25/2023
Anomaly Detection with Conditioned Denoising Diffusion Models
Reconstruction-based methods have struggled to achieve competitive perfo...
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02/08/2023
Revisiting Deep Active Learning for Semantic Segmentation
Active learning automatically selects samples for annotation from a data...
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11/23/2022
Open-vocabulary Attribute Detection
Vision-language modeling has enabled open-vocabulary tasks where predict...
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11/12/2022
Far Away in the Deep Space: Nearest-Neighbor-Based Dense Out-of-Distribution Detection
The key to out-of-distribution detection is density estimation of the in...
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11/03/2022
Towards Discovering Neural Architectures from Scratch
The discovery of neural architectures from scratch is the long-standing ...
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09/29/2022
Bridging the Gap to Real-World Object-Centric Learning
Humans naturally decompose their environment into entities at the approp...
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09/18/2022
SF2SE3: Clustering Scene Flow into SE(3)-Motions via Proposal and Selection
We propose SF2SE3, a novel approach to estimate scene dynamics in form o...
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09/13/2022
A Benchmark and a Baseline for Robust Multi-view Depth Estimation
Recent deep learning approaches for multi-view depth estimation are empl...
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08/30/2022
Probing Contextual Diversity for Dense Out-of-Distribution Detection
Detection of out-of-distribution (OoD) samples in the context of image c...
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07/27/2022
RobotIO: A Python Library for Robot Manipulation Experiments
Setting up robot environments to quickly test newly developed algorithms...
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07/19/2022
Assaying Out-Of-Distribution Generalization in Transfer Learning
Since out-of-distribution generalization is a generally ill-posed proble...
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07/11/2022
Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations
In this paper, we show that recent advances in self-supervised feature l...
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07/08/2022
Pixel-level Correspondence for Self-Supervised Learning from Video
While self-supervised learning has enabled effective representation lear...
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05/17/2022
Conditional Visual Servoing for Multi-Step Tasks
Visual Servoing has been effectively used to move a robot into specific ...
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05/12/2022
Localized Vision-Language Matching for Open-vocabulary Object Detection
In this work, we propose an open-world object detection method that, bas...
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02/15/2022
Neural Architecture Search for Dense Prediction Tasks in Computer Vision
The success of deep learning in recent years has lead to a rising demand...
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01/27/2022
Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives
This paper introduces Ranking Info Noise Contrastive Estimation (RINCE),...
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12/16/2021
Search for temporal cell segmentation robustness in phase-contrast microscopy videos
Studying cell morphology changes in time is critical to understanding ce...
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10/13/2021
Unsupervised Object Learning via Common Fate
Learning generative object models from unlabelled videos is a long stand...
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10/11/2021
You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction
Predicting the future trajectory of a moving agent can be easy when the ...
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09/30/2021
CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations
Contrastive learning allows us to flexibly define powerful losses by con...
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07/09/2021
Multi-headed Neural Ensemble Search
Ensembles of CNN models trained with different seeds (also known as Deep...
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06/28/2021
Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation
Deep neural networks often exhibit poor performance on data that is unli...
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06/15/2021
Towards Total Recall in Industrial Anomaly Detection
Being able to spot defective parts is a critical component in large-scal...
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06/08/2021
Contrastive Representation Learning for Hand Shape Estimation
This work presents improvements in monocular hand shape estimation by bu...
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06/01/2021
Semi-Supervised Disparity Estimation with Deep Feature Reconstruction
Despite the success of deep learning in disparity estimation, the domain...
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04/29/2021
Pre-training of Deep RL Agents for Improved Learning under Domain Randomization
Visual domain randomization in simulated environments is a widely used m...
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04/01/2021
Fostering Generalization in Single-view 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors
Single-view 3D object reconstruction has seen much progress, yet methods...
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03/30/2021
What Causes Optical Flow Networks to be Vulnerable to Physical Adversarial Attacks
Recent work demonstrated the lack of robustness of optical flow networks...
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03/30/2021
Improving robustness against common corruptions with frequency biased models
CNNs perform remarkably well when the training and test distributions ar...
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03/23/2021
On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors
Predicting the states of dynamic traffic actors into the future is impor...
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02/18/2021
Essentials for Class Incremental Learning
Contemporary neural networks are limited in their ability to learn from ...
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11/20/2020
Recovering the Imperfect: Cell Segmentation in the Presence of Dynamically Localized Proteins
Deploying off-the-shelf segmentation networks on biomedical data has bec...
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11/01/2020
COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning
Many real-world video-text tasks involve different levels of granularity...
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07/19/2020
Beyond Single Stage Encoder-Decoder Networks: Deep Decoders for Semantic Image Segmentation
Single encoder-decoder methodologies for semantic segmentation are reach...
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07/06/2020
Scaling Imitation Learning in Minecraft
Imitation learning is a powerful family of techniques for learning senso...
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07/01/2020
FlowControl: Optical Flow Based Visual Servoing
One-shot imitation is the vision of robot programming from a single demo...
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06/08/2020
Multimodal Future Localization and Emergence Prediction for Objects in Egocentric View with a Reachability Prior
In this paper, we investigate the problem of anticipating future dynamic...
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04/04/2020
Multi-Variate Temporal GAN for Large Scale Video Generation
In this paper, we present a network architecture for video generation th...
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01/22/2020
Optimized Generic Feature Learning for Few-shot Classification across Domains
To learn models or features that generalize across tasks and domains is ...
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12/11/2019
Parting with Illusions about Deep Active Learning
Active learning aims to reduce the high labeling cost involved in traini...
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10/17/2019
Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control
We propose Adaptive Curriculum Generation from Demonstrations (ACGD) for...
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10/17/2019
Self-supervised 3D Shape and Viewpoint Estimation from Single Images for Robotics
We present a convolutional neural network for joint 3D shape prediction ...
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10/04/2019
SELF: Learning to Filter Noisy Labels with Self-Ensembling
Deep neural networks (DNNs) have been shown to over-fit a dataset when b...
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09/28/2019
DeepUSPS: Deep Robust Unsupervised Saliency Prediction With Self-Supervision
Deep neural network (DNN) based salient object detection in images based...
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09/20/2019
Understanding and Robustifying Differentiable Architecture Search
Differentiable Architecture Search (DARTS) has attracted a lot of attent...
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09/10/2019
FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape from Single RGB Images
Estimating 3D hand pose from single RGB images is a highly ambiguous pro...
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08/15/2019