research
∙
09/07/2023
Autoregressive Omni-Aware Outpainting for Open-Vocabulary 360-Degree Image Generation
A 360-degree (omni-directional) image provides an all-encompassing spher...
share
research
∙
09/01/2023
The FruitShell French synthesis system at the Blizzard 2023 Challenge
This paper presents a French text-to-speech synthesis system for the Bli...
research
∙
08/31/2023
Terrain Diffusion Network: Climatic-Aware Terrain Generation with Geological Sketch Guidance
Sketch-based terrain generation seeks to create realistic landscapes for...
research
∙
08/18/2023
Robust Audio Anti-Spoofing with Fusion-Reconstruction Learning on Multi-Order Spectrograms
Robust audio anti-spoofing has been increasingly challenging due to the ...
research
∙
06/11/2023
LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark
Large language models have become a potential pathway toward achieving a...
research
∙
05/26/2023
Adversarial Attacks on Online Learning to Rank with Click Feedback
Online learning to rank (OLTR) is a sequential decision-making problem w...
research
∙
05/23/2023
Full Resolution Repetition Counting
Given an untrimmed video, repetitive actions counting aims to estimate t...
research
∙
04/09/2023
DSMNet: Deep High-precision 3D Surface Modeling from Sparse Point Cloud Frames
Existing point cloud modeling datasets primarily express the modeling pr...
research
∙
03/27/2023
Continuous Intermediate Token Learning with Implicit Motion Manifold for Keyframe Based Motion Interpolation
Deriving sophisticated 3D motions from sparse keyframes is a particularl...
research
∙
03/03/2023
Multi-Scale Control Signal-Aware Transformer for Motion Synthesis without Phase
Synthesizing controllable motion for a character using deep learning has...
research
∙
03/01/2023
Efficient Explorative Key-term Selection Strategies for Conversational Contextual Bandits
Conversational contextual bandits elicit user preferences by occasionall...
research
∙
01/18/2023
Robust Knowledge Adaptation for Federated Unsupervised Person ReID
Person Re-identification (ReID) has been extensively studied in recent y...
research
∙
12/21/2022
Towards Efficient Visual Simplification of Computational Graphs in Deep Neural Networks
A computational graph in a deep neural network (DNN) denotes a specific ...
research
∙
10/16/2022
TLDW: Extreme Multimodal Summarisation of News Videos
Multimodal summarisation with multimodal output is drawing increasing at...
research
∙
07/25/2022
Deep Laparoscopic Stereo Matching with Transformers
The self-attention mechanism, successfully employed with the transformer...
research
∙
06/08/2022
1Cademy at Semeval-2022 Task 1: Investigating the Effectiveness of Multilingual, Multitask, and Language-Agnostic Tricks for the Reverse Dictionary Task
This paper describes our system for the SemEval2022 task of matching dic...
research
∙
03/28/2022
LiDARCap: Long-range Marker-less 3D Human Motion Capture with LiDAR Point Clouds
Existing motion capture datasets are largely short-range and cannot yet ...
research
∙
11/14/2021
Sign Language Translation with Hierarchical Spatio-TemporalGraph Neural Network
Sign language translation (SLT), which generates text in a spoken langua...
research
∙
03/27/2021
Deep Learning Techniques for In-Crop Weed Identification: A Review
Weeds are a significant threat to the agricultural productivity and the ...
research
∙
07/30/2020
Federated Visualization: A Privacy-preserving Strategy for Decentralized Visualization
We present a novel privacy preservation strategy for decentralized visua...
research
∙
03/31/2020
Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition
Spatial-temporal graphs have been widely used by skeleton-based action r...
research
∙
11/15/2019
Coupling Matrix Manifolds and Their Applications in Optimal Transport
Optimal transport (OT) is a powerful tool for measuring the distance bet...
research
∙
09/21/2019
IntersectGAN: Learning Domain Intersection for Generating Images with Multiple Attributes
Generative adversarial networks (GANs) have demonstrated great success i...
research
∙
06/21/2018
Combining Recurrent Neural Networks and Adversarial Training for Human Motion Synthesis and Control
This paper introduces a new generative deep learning network for human m...
research
∙
12/10/2013
Protein Contact Prediction by Integrating Joint Evolutionary Coupling Analysis and Supervised Learning
Protein contacts contain important information for protein structure and...
research
∙
08/08/2013
