b'Hao Tang'

research

∙ 09/16/2023

Delving into Multimodal Prompting for Fine-grained Visual Classification

Fine-grained visual classification (FGVC) involves categorizing fine sub...

0 Xin Jiang, et al. ∙

research

∙ 09/14/2023

Temporal-aware Hierarchical Mask Classification for Video Semantic Segmentation

Modern approaches have proved the huge potential of addressing semantic ...

0 Zhaochong An, et al. ∙

research

∙ 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)...

0 Lei Ding, et al. ∙

research

∙ 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...

0 Haiyang Wang, et al. ∙

research

∙ 07/31/2023

Interactive Neural Painting

In the last few years, Neural Painting (NP) techniques became capable of...

0 Elia Peruzzo, et al. ∙

research

∙ 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...

0 Hao Tang, et al. ∙

research

∙ 07/14/2023

Erasing, Transforming, and Noising Defense Network for Occluded Person Re-Identification

Occlusion perturbation presents a significant challenge in person re-ide...

0 Neng Dong, et al. ∙

research

∙ 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...

0 Jianyuan Ni, et al. ∙

research

∙ 06/21/2023

Inter-Instance Similarity Modeling for Contrastive Learning

The existing contrastive learning methods widely adopt one-hot instance ...

0 Chengchao Shen, et al. ∙

research

∙ 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...

0 Qihan Zhao, et al. ∙

research

∙ 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...

0 Ramon Sanabria, et al. ∙

research

∙ 06/01/2023

Edge-guided Representation Learning for Underwater Object Detection

Underwater object detection (UOD) is crucial for marine economic develop...

0 Linhui Dai, et al. ∙

research

∙ 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...

0 Tong Xu, et al. ∙

research

∙ 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 ...

0 Oli Liu, et al. ∙

research

∙ 05/19/2023

Attributable and Scalable Opinion Summarization

We propose a method for unsupervised opinion summarization that encodes ...

0 Tom Hosking, et al. ∙

research

∙ 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...

0 Hao Tang, et al. ∙

research

∙ 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...

0 Qingsen Yan, et al. ∙

research

∙ 03/23/2023

Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration

Deep point cloud registration methods face challenges to partial overlap...

0 Guofeng Mei, et al. ∙

research

∙ 03/14/2023

Graph Transformer GANs for Graph-Constrained House Generation

We present a novel graph Transformer generative adversarial network (GTG...

0 Hao Tang, et al. ∙

research

∙ 03/09/2023

Analysis and Evaluation of Explainable Artificial Intelligence on Suicide Risk Assessment

This study investigates the effectiveness of Explainable Artificial Inte...

0 Hao Tang, et al. ∙

research

∙ 03/05/2023

DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network

The rapid advances in Vision Transformer (ViT) refresh the state-of-the-...

0 Xuan Shen, et al. ∙

research

∙ 02/03/2023

Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased

There is a recent trend of applying multi-agent reinforcement learning (...

0 Chao Yu, et al. ∙

research

∙ 01/30/2023

GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis

Synthesizing high-fidelity complex images from text is challenging. Base...

0 Ming Tao, et al. ∙

research

∙ 01/24/2023

Bipartite Graph Diffusion Model for Human Interaction Generation

The generation of natural human motion interactions is a hot topic in co...

0 Baptiste Chopin, et al. ∙

research

∙ 01/09/2023

EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset

Visual object tracking is a key component to many egocentric vision prob...

0 Hao Tang, et al. ∙

research

∙ 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...

0 Hui Wei, et al. ∙

research

∙ 12/07/2022

Few-shot Medical Image Segmentation with Cycle-resemblance Attention

Recently, due to the increasing requirements of medical imaging applicat...

31 Hao Ding, et al. ∙

research

∙ 11/17/2022

Compressing Transformer-based self-supervised models for speech processing

Despite the success of Transformers in self-supervised learning with app...

0 Tzu-Quan Lin, et al. ∙

research

∙ 11/17/2022

MelHuBERT: A simplified HuBERT on Mel spectrogram

Self-supervised models have had great success in learning speech represe...

0 Tzu-Quan Lin, et al. ∙

research

∙ 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...

0 Hao Tang, et al. ∙

research

∙ 11/12/2022

Bipartite Graph Reasoning GANs for Person Pose and Facial Image Synthesis

We present a novel bipartite graph reasoning Generative Adversarial Netw...

0 Hao Tang, et al. ∙

research

∙ 11/02/2022

The Lottery Ticket Hypothesis for Vision Transformers

The conventional lottery ticket hypothesis (LTH) claims that there exist...

0 Xuan Shen, et al. ∙

research

∙ 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...

0 Sung-Lin Yeh, et al. ∙

research

∙ 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...

0 Ramon Sanabria, et al. ∙

research

∙ 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...

0 Chin-Yun Yu, et al. ∙

research

∙ 10/13/2022

On Compressing Sequences for Self-Supervised Speech Models

Compressing self-supervised models has become increasingly necessary, as...

0 Yen Meng, et al. ∙

research

∙ 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-...

0 Zican Zha, et al. ∙

research

∙ 09/30/2022

Physical Adversarial Attack meets Computer Vision: A Decade Survey

Although Deep Neural Networks (DNNs) have achieved impressive results in...

12 Hui Wei, et al. ∙

research

∙ 09/05/2022

Facial Expression Translation using Landmark Guided GANs

We propose a simple yet powerful Landmark guided Generative Adversarial ...

6 Hao Tang, et al. ∙

research

∙ 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...

0 Shuanglin Yan, et al. ∙

research

∙ 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...

29 Jichao Zhang, et al. ∙

research

∙ 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...

0 Pan Xie, et al. ∙

research

∙ 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...

0 Guolei Sun, et al. ∙

research

∙ 07/17/2022

MLP-GAN for Brain Vessel Image Segmentation

Brain vessel image segmentation can be used as a promising biomarker for...

18 Bin Xie, et al. ∙

research

∙ 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...

1 Daqian Shi, et al. ∙

research

∙ 07/16/2022

RCRN: Real-world Character Image Restoration Network via Skeleton Extraction

Constructing high-quality character image datasets is challenging becaus...

6 Daqian Shi, et al. ∙

research

∙ 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...

10 Xiaolei Diao, et al. ∙

research

∙ 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...

2 Zhan Chen, et al. ∙

research

∙ 07/04/2022

Interaction Transformer for Human Reaction Generation

We address the challenging task of human reaction generation which aims ...

0 Baptiste Chopin, et al. ∙

research

∙ 06/29/2022

3D-Aware Video Generation

Generative models have emerged as an essential building block for many i...

21 Sherwin Bahmani, et al. ∙

Hao Tang

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