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08/24/2023
Whombat: An open-source annotation tool for machine learning development in bioacoustics
1. Automated analysis of bioacoustic recordings using machine learning (...
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06/05/2023
Spatial Implicit Neural Representations for Global-Scale Species Mapping
Estimating the geographical range of a species from sparse observations ...
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05/21/2023
VL-Fields: Towards Language-Grounded Neural Implicit Spatial Representations
We present Visual-Language Fields (VL-Fields), a neural implicit spatial...
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04/27/2023
Incremental Generalized Category Discovery
We explore the problem of Incremental Generalized Category Discovery (IG...
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03/31/2023
Self-Supervised Multimodal Learning: A Survey
Multimodal learning, which aims to understand and analyze information fr...
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03/23/2023
SAOR: Single-View Articulated Object Reconstruction
We introduce SAOR, a novel approach for estimating the 3D shape, texture...
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12/01/2022
ViewNeRF: Unsupervised Viewpoint Estimation Using Category-Level Neural Radiance Fields
We introduce ViewNeRF, a Neural Radiance Field-based viewpoint estimatio...
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12/01/2022
ViewNet: Unsupervised Viewpoint Estimation from Conditional Generation
Understanding the 3D world without supervision is currently a major chal...
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10/10/2022
An Action Is Worth Multiple Words: Handling Ambiguity in Action Recognition
Precisely naming the action depicted in a video can be a challenging and...
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10/07/2022
SVL-Adapter: Self-Supervised Adapter for Vision-Language Pretrained Models
Vision-language models such as CLIP are pretrained on large volumes of i...
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07/21/2022
Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset
We present a new benchmark dataset, Sapsucker Woods 60 (SSW60), for adva...
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07/20/2022
On Label Granularity and Object Localization
Weakly supervised object localization (WSOL) aims to learn representatio...
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07/20/2022
Visual Knowledge Tracing
Each year, thousands of people learn new visual categorization tasks – r...
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07/11/2022
Demystifying Unsupervised Semantic Correspondence Estimation
We explore semantic correspondence estimation through the lens of unsupe...
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01/25/2022
Capturing Temporal Information in a Single Frame: Channel Sampling Strategies for Action Recognition
We address the problem of capturing temporal information for video class...
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11/11/2021
Fine-Grained Image Analysis with Deep Learning: A Survey
Fine-grained image analysis (FGIA) is a longstanding and fundamental pro...
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08/14/2021
Focus on the Positives: Self-Supervised Learning for Biodiversity Monitoring
We address the problem of learning self-supervised representations from ...
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06/17/2021
Multi-Label Learning from Single Positive Labels
Predicting all applicable labels for a given image is known as multi-lab...
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05/12/2021
When Does Contrastive Visual Representation Learning Work?
Recent self-supervised representation learning techniques have largely c...
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04/29/2021
The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth
Self-supervised monocular depth estimation networks are trained to predi...
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03/30/2021
Benchmarking Representation Learning for Natural World Image Collections
Recent progress in self-supervised learning has resulted in models that ...
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08/04/2020
Learning Stereo from Single Images
Supervised deep networks are among the best methods for finding correspo...
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02/05/2020
Geocoding of trees from street addresses and street-level images
We introduce an approach for updating older tree inventories with geogra...
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06/12/2019
Presence-Only Geographical Priors for Fine-Grained Image Classification
Appearance information alone is often not sufficient to accurately diffe...
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06/04/2018
Digging Into Self-Supervised Monocular Depth Estimation
Depth-sensing is important for both navigation and scene understanding. ...
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05/21/2018
Teaching Multiple Concepts to Forgetful Learners
How can we help a forgetful learner learn multiple concepts within a lim...
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05/17/2018
It's all Relative: Monocular 3D Human Pose Estimation from Weakly Supervised Data
We address the problem of 3D human pose estimation from 2D input images ...
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02/20/2018
Teaching Categories to Human Learners with Visual Explanations
We study the problem of computer-assisted teaching with explanations. Co...
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02/14/2018
Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners
In real-world applications of education and human teaching, an effective...
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09/22/2017
Context Embedding Networks
Low dimensional embeddings that capture the main variations of interest ...
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07/20/2017
The iNaturalist Challenge 2017 Dataset
Existing image classification datasets used in computer vision tend to h...
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09/13/2016
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Learning based methods have shown very promising results for the task of...
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04/30/2015
Hierarchical Subquery Evaluation for Active Learning on a Graph
To train good supervised and semi-supervised object classifiers, it is c...
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04/28/2015
