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08/14/2023
Knowing Where to Focus: Event-aware Transformer for Video Grounding
Recent DETR-based video grounding models have made the model directly pr...
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08/14/2023
Semantic-aware Network for Aerial-to-Ground Image Synthesis
Aerial-to-ground image synthesis is an emerging and challenging problem ...
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08/08/2023
Hierarchical Visual Primitive Experts for Compositional Zero-Shot Learning
Compositional zero-shot learning (CZSL) aims to recognize unseen composi...
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04/04/2023
PartMix: Regularization Strategy to Learn Part Discovery for Visible-Infrared Person Re-identification
Modern data augmentation using a mixture-based technique can regularize ...
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04/03/2023
Probabilistic Prompt Learning for Dense Prediction
Recent progress in deterministic prompt learning has become a promising ...
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03/17/2023
Dual-path Adaptation from Image to Video Transformers
In this paper, we efficiently transfer the surpassing representation pow...
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03/16/2023
TemporalMaxer: Maximize Temporal Context with only Max Pooling for Temporal Action Localization
Temporal Action Localization (TAL) is a challenging task in video unders...
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11/08/2022
SimOn: A Simple Framework for Online Temporal Action Localization
Online Temporal Action Localization (On-TAL) aims to immediately provide...
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10/24/2022
Language-free Training for Zero-shot Video Grounding
Given an untrimmed video and a language query depicting a specific tempo...
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07/27/2022
PointFix: Learning to Fix Domain Bias for Robust Online Stereo Adaptation
Online stereo adaptation tackles the domain shift problem, caused by dif...
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04/08/2022
Probabilistic Representations for Video Contrastive Learning
This paper presents Probabilistic Video Contrastive Learning, a self-sup...
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04/07/2022
Pin the Memory: Learning to Generalize Semantic Segmentation
The rise of deep neural networks has led to several breakthroughs for se...
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02/14/2022
Context-Preserving Instance-Level Augmentation and Deformable Convolution Networks for SAR Ship Detection
Shape deformation of targets in SAR image due to random orientation and ...
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02/06/2022
Multi-domain Unsupervised Image-to-Image Translation with Appearance Adaptive Convolution
Over the past few years, image-to-image (I2I) translation methods have b...
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01/06/2022
Memory-guided Image De-raining Using Time-Lapse Data
This paper addresses the problem of single image de-raining, that is, th...
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11/09/2021
Dual Prototypical Contrastive Learning for Few-shot Semantic Segmentation
We address the problem of few-shot semantic segmentation (FSS), which ai...
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10/22/2021
DIML/CVL RGB-D Dataset: 2M RGB-D Images of Natural Indoor and Outdoor Scenes
This manual is intended to provide a detailed description of the DIML/CV...
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10/22/2021
Wide and Narrow: Video Prediction from Context and Motion
Video prediction, forecasting the future frames from a sequence of input...
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08/31/2021
Self-balanced Learning For Domain Generalization
Domain generalization aims to learn a prediction model on multi-domain s...
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08/10/2021
Learning Canonical 3D Object Representation for Fine-Grained Recognition
We propose a novel framework for fine-grained object recognition that le...
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06/04/2021
Semantic Correspondence with Transformers
We propose a novel cost aggregation network, called Cost Aggregation wit...
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04/29/2021
Bridge to Answer: Structure-aware Graph Interaction Network for Video Question Answering
This paper presents a novel method, termed Bridge to Answer, to infer co...
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04/12/2021
Memory-guided Unsupervised Image-to-image Translation
We present a novel unsupervised framework for instance-level image-to-im...
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03/25/2021
Looking into Your Speech: Learning Cross-modal Affinity for Audio-visual Speech Separation
In this paper, we address the problem of separating individual speech si...
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01/02/2021
On the confidence of stereo matching in a deep-learning era: a quantitative evaluation
Stereo matching is one of the most popular techniques to estimate dense ...
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12/15/2020
Cross-Domain Grouping and Alignment for Domain Adaptive Semantic Segmentation
Existing techniques to adapt semantic segmentation networks across the s...
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07/17/2020
SumGraph: Video Summarization via Recursive Graph Modeling
The goal of video summarization is to select keyframes that are visually...
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03/25/2020
Cylindrical Convolutional Networks for Joint Object Detection and Viewpoint Estimation
Existing techniques to encode spatial invariance within deep convolution...
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10/02/2019
Joint Learning of Semantic Alignment and Object Landmark Detection
Convolutional neural networks (CNNs) based approaches for semantic align...
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08/16/2019
Context-Aware Emotion Recognition Networks
Traditional techniques for emotion recognition have focused on the facia...
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04/23/2019
A Large RGB-D Dataset for Semi-supervised Monocular Depth Estimation
The recent advance of monocular depth estimation is largely based on dee...
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04/05/2019
Semantic Attribute Matching Networks
We present semantic attribute matching networks (SAM-Net) for jointly es...
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10/29/2018
Recurrent Transformer Networks for Semantic Correspondence
We present recurrent transformer networks (RTNs) for obtaining dense cor...
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07/09/2018
PARN: Pyramidal Affine Regression Networks for Dense Semantic Correspondence Estimation
This paper presents a deep architecture for dense semantic correspondenc...
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07/18/2017
DCTM: Discrete-Continuous Transformation Matching for Semantic Flow
Techniques for dense semantic correspondence have provided limited abili...
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02/03/2017
FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence
We present a descriptor, called fully convolutional self-similarity (FCS...
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12/20/2016
Deeply Aggregated Alternating Minimization for Image Restoration
Regularization-based image restoration has remained an active research t...
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04/27/2016
DASC: Robust Dense Descriptor for Multi-modal and Multi-spectral Correspondence Estimation
Establishing dense correspondences between multiple images is a fundamen...
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04/26/2016
Efficient Splitting-based Method for Global Image Smoothing
Edge-preserving smoothing (EPS) can be formulated as minimizing an objec...
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03/21/2016
Unified Depth Prediction and Intrinsic Image Decomposition from a Single Image via Joint Convolutional Neural Fields
We present a method for jointly predicting a depth map and intrinsic ima...
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03/21/2016