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09/16/2023
Delving into Multimodal Prompting for Fine-grained Visual Classification
Fine-grained visual classification (FGVC) involves categorizing fine sub...
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09/14/2023
Temporal-aware Hierarchical Mask Classification for Video Semantic Segmentation
Modern approaches have proved the huge potential of addressing semantic ...
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09/04/2023
Adapting Segment Anything Model for Change Detection in HR Remote Sensing Images
Vision Foundation Models (VFMs) such as the Segment Anything Model (SAM)...
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08/15/2023
UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation
Jointly processing information from multiple sensors is crucial to achie...
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07/31/2023
Interactive Neural Painting
In the last few years, Neural Painting (NP) techniques became capable of...
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07/22/2023
Edge Guided GANs with Multi-Scale Contrastive Learning for Semantic Image Synthesis
We propose a novel ECGAN for the challenging semantic image synthesis ta...
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07/14/2023
Erasing, Transforming, and Noising Defense Network for Occluded Person Re-Identification
Occlusion perturbation presents a significant challenge in person re-ide...
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07/07/2023
Physical-aware Cross-modal Adversarial Network for Wearable Sensor-based Human Action Recognition
Wearable sensor-based Human Action Recognition (HAR) has made significan...
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06/21/2023
Inter-Instance Similarity Modeling for Contrastive Learning
The existing contrastive learning methods widely adopt one-hot instance ...
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06/17/2023
Enlighten Anything: When Segment Anything Model Meets Low-Light Image Enhancement
Image restoration is a low-level visual task, and most CNN methods are d...
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06/03/2023
Acoustic Word Embeddings for Untranscribed Target Languages with Continued Pretraining and Learned Pooling
Acoustic word embeddings are typically created by training a pooling fun...
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06/01/2023
Edge-guided Representation Learning for Underwater Object Detection
Underwater object detection (UOD) is crucial for marine economic develop...
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05/24/2023
Reversible Graph Neural Network-based Reaction Distribution Learning for Multiple Appropriate Facial Reactions Generation
Generating facial reactions in a human-human dyadic interaction is compl...
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05/21/2023
Self-supervised Predictive Coding Models Encode Speaker and Phonetic Information in Orthogonal Subspaces
Self-supervised speech representations are known to encode both speaker ...
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05/19/2023
Attributable and Scalable Opinion Summarization
We propose a method for unsupervised opinion summarization that encodes ...
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04/24/2023
Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer
Transformer-based models achieve favorable performance in artistic style...
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04/14/2023
SMAE: Few-shot Learning for HDR Deghosting with Saturation-Aware Masked Autoencoders
Generating a high-quality High Dynamic Range (HDR) image from dynamic sc...
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03/23/2023
Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration
Deep point cloud registration methods face challenges to partial overlap...
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03/14/2023
Graph Transformer GANs for Graph-Constrained House Generation
We present a novel graph Transformer generative adversarial network (GTG...
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03/09/2023
Analysis and Evaluation of Explainable Artificial Intelligence on Suicide Risk Assessment
This study investigates the effectiveness of Explainable Artificial Inte...
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03/05/2023
DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network
The rapid advances in Vision Transformer (ViT) refresh the state-of-the-...
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02/03/2023
Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased
There is a recent trend of applying multi-agent reinforcement learning (...
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01/30/2023
GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis
Synthesizing high-fidelity complex images from text is challenging. Base...
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01/24/2023
Bipartite Graph Diffusion Model for Human Interaction Generation
The generation of natural human motion interactions is a hot topic in co...
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01/09/2023
EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset
Visual object tracking is a key component to many egocentric vision prob...
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12/12/2022
HOTCOLD Block: Fooling Thermal Infrared Detectors with a Novel Wearable Design
Adversarial attacks on thermal infrared imaging expose the risk of relat...
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12/07/2022
Few-shot Medical Image Segmentation with Cycle-resemblance Attention
Recently, due to the increasing requirements of medical imaging applicat...
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11/17/2022
Compressing Transformer-based self-supervised models for speech processing
Despite the success of Transformers in self-supervised learning with app...
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11/17/2022
MelHuBERT: A simplified HuBERT on Mel spectrogram
Self-supervised models have had great success in learning speech represe...
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11/12/2022
Deep Unsupervised Key Frame Extraction for Efficient Video Classification
Video processing and analysis have become an urgent task since a huge am...
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11/12/2022
Bipartite Graph Reasoning GANs for Person Pose and Facial Image Synthesis
We present a novel bipartite graph reasoning Generative Adversarial Netw...
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11/02/2022
The Lottery Ticket Hypothesis for Vision Transformers
The conventional lottery ticket hypothesis (LTH) claims that there exist...
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10/29/2022
Learning Dependencies of Discrete Speech Representations with Neural Hidden Markov Models
While discrete latent variable models have had great success in self-sup...
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10/28/2022
Analyzing Acoustic Word Embeddings from Pre-trained Self-supervised Speech Models
Given the strong results of self-supervised models on various tasks, the...
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10/27/2022
Conditioning and Sampling in Variational Diffusion Models for Speech Super-resolution
Recently, diffusion models (DMs) have been increasingly used in audio pr...
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10/13/2022
On Compressing Sequences for Self-Supervised Speech Models
Compressing self-supervised models has become increasingly necessary, as...
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10/04/2022
Boosting Few-shot Fine-grained Recognition with Background Suppression and Foreground Alignment
Few-shot fine-grained recognition (FS-FGR) aims to recognize novel fine-...
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09/30/2022
Physical Adversarial Attack meets Computer Vision: A Decade Survey
Although Deep Neural Networks (DNNs) have achieved impressive results in...
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09/05/2022
Facial Expression Translation using Landmark Guided GANs
We propose a simple yet powerful Landmark guided Generative Adversarial ...
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08/30/2022
Image-Specific Information Suppression and Implicit Local Alignment for Text-based Person Search
Text-based person search is a challenging task that aims to search pedes...
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08/26/2022
Training and Tuning Generative Neural Radiance Fields for Attribute-Conditional 3D-Aware Face Generation
3D-aware GANs based on generative neural radiance fields (GNeRF) have ac...
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08/19/2022
Vector Quantized Diffusion Model with CodeUnet for Text-to-Sign Pose Sequences Generation
Sign Language Production (SLP) aims to translate spoken languages into s...
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07/21/2022
Mining Relations among Cross-Frame Affinities for Video Semantic Segmentation
The essence of video semantic segmentation (VSS) is how to leverage temp...
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07/17/2022
MLP-GAN for Brain Vessel Image Segmentation
Brain vessel image segmentation can be used as a promising biomarker for...
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07/16/2022
CharFormer: A Glyph Fusion based Attentive Framework for High-precision Character Image Denoising
Degraded images commonly exist in the general sources of character image...
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07/16/2022
RCRN: Real-world Character Image Restoration Network via Skeleton Extraction
Constructing high-quality character image datasets is challenging becaus...
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07/12/2022
REZCR: A Zero-shot Character Recognition Method via Radical Extraction
The long-tail effect is a common issue that limits the performance of de...
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07/07/2022
Contrastive Learning from Spatio-Temporal Mixed Skeleton Sequences for Self-Supervised Skeleton-Based Action Recognition
Self-supervised skeleton-based action recognition with contrastive learn...
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07/04/2022
Interaction Transformer for Human Reaction Generation
We address the challenging task of human reaction generation which aims ...
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06/29/2022