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06/13/2023
3D molecule generation by denoising voxel grids
We propose a new score-based approach to generate 3D molecules represent...
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03/10/2022
Algorithms for the Maximum Eulerian Cycle Decomposition Problem
Given an Eulerian graph G, in the Maximum Eulerian Cycle Decomposition p...
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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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11/11/2020
Unsupervised Learning of Dense Visual Representations
Contrastive self-supervised learning has emerged as a promising approach...
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02/16/2020
Reinforced active learning for image segmentation
Learning-based approaches for semantic segmentation have two inherent ch...
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10/06/2019
Neural Multisensory Scene Inference
For embodied agents to infer representations of the underlying 3D physic...
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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
Predicting Global Variations in Outdoor PM2.5 Concentrations using Satellite Images and Deep Convolutional Neural Networks
Here we present a new method of estimating global variations in outdoor ...
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04/06/2019
Reinforced Imitation in Heterogeneous Action Space
Imitation learning is an effective alternative approach to learn a polic...
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02/19/2019
Adaptive Cross-Modal Few-Shot Learning
Metric-based meta-learning techniques have successfully been applied to ...
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12/11/2018
Adversarial Framing for Image and Video Classification
Neural networks are prone to adversarial attacks. In general, such attac...
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12/04/2018
Learning Single-View 3D Reconstruction with Adversarial Training
Single-view 3D shape reconstruction is an important but challenging prob...
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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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11/24/2017
Unsupervised Domain Adaptation with Similarity Learning
The objective of unsupervised domain adaptation is to leverage features ...
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04/07/2016
A MultiPath Network for Object Detection
The recent COCO object detection dataset presents several new challenges...
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03/29/2016
Learning to Refine Object Segments
Object segmentation requires both object-level information and low-level...
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06/20/2015
Learning to Segment Object Candidates
Recent object detection systems rely on two critical steps: (1) a set of...
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02/12/2015
Phrase-based Image Captioning
Generating a novel textual description of an image is an interesting pro...
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12/29/2014
Simple Image Description Generator via a Linear Phrase-Based Approach
Generating a novel textual description of an image is an interesting pro...
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11/23/2014