research
∙
08/28/2023
Time-Frequency Transformer: A Novel Time Frequency Joint Learning Method for Speech Emotion Recognition
In this paper, we propose a novel time-frequency joint learning method f...
share
research
∙
06/02/2023
Learning Local to Global Feature Aggregation for Speech Emotion Recognition
Transformer has emerged in speech emotion recognition (SER) at present. ...
research
∙
05/25/2023
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation
Score distillation sampling (SDS) has shown great promise in text-to-3D ...
research
∙
05/06/2023
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs
Diffusion models have exhibited excellent performance in various domains...
research
∙
04/25/2023
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning
Guided sampling is a vital approach for applying diffusion models in rea...
research
∙
02/21/2023
On Calibrating Diffusion Probabilistic Models
Recently, diffusion probabilistic models (DPMs) have achieved promising ...
research
∙
11/25/2022
Privileged Prior Information Distillation for Image Matting
Performance of trimap-free image matting methods is limited when trying ...
research
∙
11/02/2022
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
Diffusion probabilistic models (DPMs) have achieved impressive success i...
research
∙
10/22/2022
Speech Emotion Recognition via an Attentive Time-Frequency Neural Network
Spectrogram is commonly used as the input feature of deep neural network...
research
∙
09/29/2022
Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling
In offline reinforcement learning, weighted regression is a common metho...
research
∙
08/26/2022
Local Context-Aware Active Domain Adaptation
Active Domain Adaptation (ADA) queries the label of selected target samp...
research
∙
08/26/2022
Domain Adaptation with Adversarial Training on Penultimate Activations
Enhancing model prediction confidence on unlabeled target data is an imp...
research
∙
07/18/2022
Prior Knowledge Guided Unsupervised Domain Adaptation
The waive of labels in the target domain makes Unsupervised Domain Adapt...
research
∙
07/15/2022
CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer with Modality-Correlated Cross-Attention for Brain Tumor Segmentation
Brain tumor segmentation (BTS) in magnetic resonance image (MRI) is cruc...
research
∙
07/06/2022
3DG-STFM: 3D Geometric Guided Student-Teacher Feature Matching
We tackle the essential task of finding dense visual correspondences bet...
research
∙
06/16/2022
Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching
Score-based generative models have excellent performance in terms of gen...
research
∙
06/02/2022
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps
Diffusion probabilistic models (DPMs) are emerging powerful generative m...
research
∙
04/27/2022
Circular cartograms via the elastic beam algorithm originated from cartographic generalization
The circular cartogram, also known as the Dorling map, is a widely used ...
research
∙
04/20/2022
Situational Perception Guided Image Matting
Most automatic matting methods try to separate the salient foreground fr...
research
∙
04/16/2022
Safe Self-Refinement for Transformer-based Domain Adaptation
Unsupervised Domain Adaptation (UDA) aims to leverage a label-rich sourc...
research
∙
04/13/2022
WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma
Lung cancer is the leading cause of cancer death worldwide, and adenocar...
research
∙
03/08/2022
Semantic Distillation Guided Salient Object Detection
Most existing CNN-based salient object detection methods can identify lo...
research
∙
01/28/2022
Shuffle Augmentation of Features from Unlabeled Data for Unsupervised Domain Adaptation
Unsupervised Domain Adaptation (UDA), a branch of transfer learning wher...
research
∙
01/26/2022
An Exploration of Captioning Practices and Challenges of Individual Content Creators on YouTube for People with Hearing Impairments
Deaf and Hard-of-Hearing (DHH) audiences have long complained about capt...
research
∙
10/22/2021
Deep Two-Stream Video Inference for Human Body Pose and Shape Estimation
Several video-based 3D pose and shape estimation algorithms have been pr...
research
∙
10/07/2021
Virtual Multi-Modality Self-Supervised Foreground Matting for Human-Object Interaction
Most existing human matting algorithms tried to separate pure human-only...
research
∙
03/18/2021
Regularized Non-monotone Submodular Maximization
In this paper, we present a thorough study of maximizing a regularized n...
research
∙
03/17/2021
Implicit Normalizing Flows
Normalizing flows define a probability distribution by an explicit inver...
research
∙
08/13/2020
DFEW: A Large-Scale Database for Recognizing Dynamic Facial Expressions in the Wild
Recently, facial expression recognition (FER) in the wild has gained a l...
research
∙
05/13/2020
Structure and Algorithm for Path of Solutions to a Class of Fused Lasso Problems
We study a class of fused lasso problems where the estimated parameters ...
research
∙
05/12/2020
Discriminative Multi-modality Speech Recognition
Vision is often used as a complementary modality for audio speech recogn...
research
∙
04/07/2020
Learning to Detect Head Movement in Unconstrained Remote Gaze Estimation in the Wild
Unconstrained remote gaze estimation remains challenging mostly due to i...
research
∙
02/22/2020
VFlow: More Expressive Generative Flows with Variational Data Augmentation
Generative flows are promising tractable models for density modeling tha...
research
∙
02/18/2019
On the Equivalence of Semidifinite Relaxations for MIMO Detection with General Constellations
The multiple-input multiple-output (MIMO) detection problem is a fundame...
research
∙
02/12/2019
