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08/22/2023
Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection
Improving the reliability of deployed machine learning systems often inv...
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07/21/2023
Automatic Data Augmentation Learning using Bilevel Optimization for Histopathological Images
Training a deep learning model to classify histopathological images is c...
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06/02/2023
Improving Generalization in Task-oriented Dialogues with Workflows and Action Plans
Task-oriented dialogue is difficult in part because it involves understa...
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06/01/2023
FigGen: Text to Scientific Figure Generation
The generative modeling landscape has experienced tremendous growth in r...
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02/10/2023
Long-Context Language Decision Transformers and Exponential Tilt for Interactive Text Environments
Text-based game environments are challenging because agents must deal wi...
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12/13/2022
3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding
Continual Learning, also known as Lifelong or Incremental Learning, has ...
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11/19/2022
Towards good validation metrics for generative models in offline model-based optimisation
In this work we propose a principled evaluation framework for model-base...
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10/21/2022
Implicit Offline Reinforcement Learning via Supervised Learning
Offline Reinforcement Learning (RL) via Supervised Learning is a simple ...
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10/19/2022
OCR-VQGAN: Taming Text-within-Image Generation
Synthetic image generation has recently experienced significant improvem...
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10/04/2022
CADet: Fully Self-Supervised Anomaly Detection With Contrastive Learning
Handling out-of-distribution (OOD) samples has become a major stake in t...
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08/30/2022
Constraining Representations Yields Models That Know What They Don't Know
A well-known failure mode of neural networks corresponds to high confide...
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05/24/2022
Workflow Discovery from Dialogues in the Low Data Regime
Text-based dialogues are now widely used to solve real-world problems. I...
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04/05/2022
Data Augmentation for Intent Classification with Off-the-shelf Large Language Models
Data augmentation is a widely employed technique to alleviate the proble...
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03/30/2022
Challenges in leveraging GANs for few-shot data augmentation
In this paper, we explore the use of GAN-based few-shot data augmentatio...
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11/23/2021
Multi-label Iterated Learning for Image Classification with Label Ambiguity
Transfer learning from large-scale pre-trained models has become essenti...
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10/27/2021
A Survey of Self-Supervised and Few-Shot Object Detection
Labeling data is often expensive and time-consuming, especially for task...
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08/21/2021
SSR: Semi-supervised Soft Rasterizer for single-view 2D to 3D Reconstruction
Recent work has made significant progress in learning object meshes with...
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04/01/2021
Touch-based Curiosity for Sparse-Reward Tasks
Robots in many real-world settings have access to force/torque sensors i...
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03/30/2021
Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data
Remote sensing and automatic earth monitoring are key to solve global-sc...
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03/18/2021
Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations
Explainability for machine learning models has gained considerable atten...
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02/18/2021
Knowledge Hypergraph Embedding Meets Relational Algebra
Embedding-based methods for reasoning in knowledge hypergraphs learn a r...
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11/14/2020
Counting Cows: Tracking Illegal Cattle Ranching From High-Resolution Satellite Imagery
Cattle farming is responsible for 8.8% of greenhouse gas emissions world...
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11/06/2020
Affinity LCFCN: Learning to Segment Fish with Weak Supervision
Aquaculture industries rely on the availability of accurate fish body me...
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09/14/2020
Synbols: Probing Learning Algorithms with Synthetic Datasets
Progress in the field of machine learning has been fueled by the introdu...
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09/14/2020
CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions
In the last few years, we have witnessed a renewed and fast-growing inte...
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08/28/2020
A Realistic Fish-Habitat Dataset to Evaluate Algorithms for Underwater Visual Analysis
Visual analysis of complex fish habitats is an important step towards su...
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07/04/2020
A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images
Acquiring count annotations generally requires less human effort than po...
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07/03/2020
LOOC: Localize Overlapping Objects with Count Supervision
Acquiring count annotations generally requires less human effort than po...
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06/25/2020
Learning Data Augmentation with Online Bilevel Optimization for Image Classification
Data augmentation is a key practice in machine learning for improving ge...
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03/23/2020
Pix2Shape – Towards Unsupervised Learning of 3D Scenes from Images using a View-based Representation
We infer and generate three-dimensional (3D) scene information from a si...
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03/12/2020
Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning
Learning from non-stationary data remains a great challenge for machine ...
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10/02/2019
Slanted Stixels: A way to represent steep streets
This work presents and evaluates a novel compact scene representation ba...
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09/21/2019
Adversarial Learning of General Transformations for Data Augmentation
Data augmentation (DA) is fundamental against overfitting in large convo...
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09/20/2019
Fourier-CPPNs for Image Synthesis
Compositional Pattern Producing Networks (CPPNs) are differentiable netw...
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08/30/2019
Class-Based Styling: Real-time Localized Style Transfer with Semantic Segmentation
We propose a Class-Based Styling method (CBS) that can map different sty...
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07/02/2019
Where are the Masks: Instance Segmentation with Image-level Supervision
A major obstacle in instance segmentation is that existing methods often...
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06/14/2019
Instance Segmentation with Point Supervision
Instance segmentation methods often require costly per-pixel labels. We ...
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06/01/2019
Knowledge Hypergraphs: Extending Knowledge Graphs Beyond Binary Relations
Knowledge graphs store facts using relations between pairs of entities. ...
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02/10/2019
Context-Aware Visual Compatibility Prediction
How do we determine whether two or more clothing items are compatible or...
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07/25/2018
Where are the Blobs: Counting by Localization with Point Supervision
Object counting is an important task in computer vision due to its growi...
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07/17/2017
Slanted Stixels: Representing San Francisco's Steepest Streets
In this work we present a novel compact scene representation based on St...
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12/29/2016
From Virtual to Real World Visual Perception using Domain Adaptation -- The DPM as Example
Supervised learning tends to produce more accurate classifiers than unsu...
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12/02/2016
A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images
Colorectal cancer (CRC) is the third cause of cancer death worldwide. Cu...
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11/28/2016
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation
State-of-the-art approaches for semantic image segmentation are built on...
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11/09/2016
Node-Adapt, Path-Adapt and Tree-Adapt:Model-Transfer Domain Adaptation for Random Forest
Random Forest (RF) is a successful paradigm for learning classifiers due...
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11/05/2016
GPU-based Pedestrian Detection for Autonomous Driving
We propose a real-time pedestrian detection system for the embedded Nvid...
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10/13/2016
GPU-accelerated real-time stixel computation
The Stixel World is a medium-level, compact representation of road scene...
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10/13/2016
Embedded real-time stereo estimation via Semi-Global Matching on the GPU
Dense, robust and real-time computation of depth information from stereo...
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08/22/2014
Hierarchical Adaptive Structural SVM for Domain Adaptation
A key topic in classification is the accuracy loss produced when the dat...
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07/14/2014