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08/22/2023
Domain Generalization via Rationale Invariance
This paper offers a new perspective to ease the challenge of domain gene...
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06/12/2023
Provably Efficient Bayesian Optimization with Unbiased Gaussian Process Hyperparameter Estimation
Gaussian process (GP) based Bayesian optimization (BO) is a powerful met...
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04/05/2023
Knowledge Combination to Learn Rotated Detection Without Rotated Annotation
Rotated bounding boxes drastically reduce output ambiguity of elongated ...
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03/30/2023
Adaptive Cross Batch Normalization for Metric Learning
Metric learning is a fundamental problem in computer vision whereby a mo...
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03/03/2023
Learning Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems
Self-supervised learning (SSL) strategies have demonstrated remarkable p...
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02/27/2023
BaLi-RF: Bandlimited Radiance Fields for Dynamic Scene Modeling
Reasoning the 3D structure of a non-rigid dynamic scene from a single mo...
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12/22/2022
Understanding and Improving the Role of Projection Head in Self-Supervised Learning
Self-supervised learning (SSL) aims to produce useful feature representa...
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06/13/2022
Confident Sinkhorn Allocation for Pseudo-Labeling
Semi-supervised learning is a critical tool in reducing machine learning...
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04/25/2022
PointInst3D: Segmenting 3D Instances by Points
The current state-of-the-art methods in 3D instance segmentation typical...
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03/21/2022
CNN Attention Guidance for Improved Orthopedics Radiographic Fracture Classification
Convolutional neural networks (CNNs) have gained significant popularity ...
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03/04/2022
Distributionally Robust Bayesian Optimization with φ-divergences
The study of robustness has received much attention due to its inevitabi...
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02/22/2022
Retrieval Augmented Classification for Long-Tail Visual Recognition
We introduce Retrieval Augmented Classification (RAC), a generic approac...
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02/21/2022
Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning
Continual Learning (CL) methods aim to enable machine learning models to...
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01/19/2022
Poseur: Direct Human Pose Regression with Transformers
We propose a direct, regression-based approach to 2D human pose estimati...
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07/18/2021
Dynamic Convolution for 3D Point Cloud Instance Segmentation
We propose an approach to instance segmentation from 3D point clouds bas...
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01/15/2021
Reasoning over Vision and Language: Exploring the Benefits of Supplemental Knowledge
The limits of applicability of vision-and-language models are defined by...
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12/05/2020
Deep Multi-task Learning for Depression Detection and Prediction in Longitudinal Data
Depression is among the most prevalent mental disorders, affecting milli...
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11/26/2020
DyCo3D: Robust Instance Segmentation of 3D Point Clouds through Dynamic Convolution
Previous top-performing approaches for point cloud instance segmentation...
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09/15/2020
Deep Reinforcement Learning for Unknown Anomaly Detection
We address a critical yet largely unsolved anomaly detection problem, in...
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07/29/2020
Object-and-Action Aware Model for Visual Language Navigation
Vision-and-Language Navigation (VLN) is unique in that it requires turni...
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07/06/2020
Deep Learning for Anomaly Detection: A Review
Anomaly detection, a.k.a. outlier detection, has been a lasting yet acti...
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06/01/2020
Structured Multimodal Attentions for TextVQA
Text based Visual Question Answering (TextVQA) is a recently raised chal...
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05/04/2020
Visual Question Answering with Prior Class Semantics
We present a novel mechanism to embed prior knowledge in a model for vis...
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04/20/2020
Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision
One of the primary challenges limiting the applicability of deep learnin...
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03/15/2020
Self-trained Deep Ordinal Regression for End-to-End Video Anomaly Detection
Video anomaly detection is of critical practical importance to a variety...
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02/24/2020
On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering
Visual Question Answering (VQA) methods have made incredible progress, b...
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01/08/2020
Learning to Zoom-in via Learning to Zoom-out: Real-world Super-resolution by Generating and Adapting Degradation
Most learning-based super-resolution (SR) methods aim to recover high-re...
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11/19/2019
Deep Anomaly Detection with Deviation Networks
Although deep learning has been applied to successfully address many dat...
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10/30/2019
Weakly-supervised Deep Anomaly Detection with Pairwise Relation Learning
This paper studies a rarely explored but critical anomaly detection prob...
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09/30/2019
On Incorporating Semantic Prior Knowlegde in Deep Learning Through Embedding-Space Constraints
The knowledge that humans hold about a problem often extends far beyond ...
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07/29/2019
V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices
One of the primary challenges faced by deep learning is the degree to wh...
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05/14/2019
An Effective Two-Branch Model-Based Deep Network for Single Image Deraining
Removing rain effects from an image automatically has many applications ...
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04/23/2019
Attention-guided Network for Ghost-free High Dynamic Range Imaging
Ghosting artifacts caused by moving objects or misalignments is a key ch...
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04/23/2019
RERERE: Remote Embodied Referring Expressions in Real indoor Environments
One of the long-term challenges of robotics is to enable humans to commu...
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04/06/2019
Reinforcement Learning with Attention that Works: A Self-Supervised Approach
Attention models have had a significant positive impact on deep learning...
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04/05/2019
Actively Seeking and Learning from Live Data
One of the key limitations of traditional machine learning methods is th...
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04/04/2019
Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection
Deep autoencoder has been extensively used for anomaly detection. Traini...
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12/16/2018
What's to know? Uncertainty as a Guide to Asking Goal-oriented Questions
One of the core challenges in Visual Dialogue problems is asking the que...
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12/16/2018
An Active Information Seeking Model for Goal-oriented Vision-and-Language Tasks
As Computer Vision algorithms move from passive analysis of pixels to ac...
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12/12/2018
Neighbourhood Watch: Referring Expression Comprehension via Language-guided Graph Attention Networks
The task in referring expression comprehension is to localise the object...
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11/29/2018
Visual Question Answering as Reading Comprehension
Visual question answering (VQA) demands simultaneous comprehension of bo...
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10/23/2018
End-to-End Diagnosis and Segmentation Learning from Cardiac Magnetic Resonance Imaging
Cardiac magnetic resonance (CMR) is used extensively in the diagnosis an...
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10/12/2018
MPTV: Matching Pursuit Based Total Variation Minimization for Image Deconvolution
Total variation (TV) regularization has proven effective for a range of ...
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08/30/2018
Towards Effective Deep Embedding for Zero-Shot Learning
Zero-shot learning (ZSL) attempts to recognize visual samples of unseen ...
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06/05/2018
Adaptive Importance Learning for Improving Lightweight Image Super-resolution Network
Deep neural networks have achieved remarkable success in single image su...
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04/10/2018
Learning an Optimizer for Image Deconvolution
As an integral component of blind image deblurring, non-blind deconvolut...
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12/01/2017
Real-time Semantic Image Segmentation via Spatial Sparsity
We propose an approach to semantic (image) segmentation that reduces the...
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11/22/2017
Visual Question Answering as a Meta Learning Task
The predominant approach to Visual Question Answering (VQA) demands that...
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11/21/2017
Asking the Difficult Questions: Goal-Oriented Visual Question Generation via Intermediate Rewards
Despite significant progress in a variety of vision-and-language problem...
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11/21/2017