research
∙
09/21/2023
ORTexME: Occlusion-Robust Human Shape and Pose via Temporal Average Texture and Mesh Encoding
In 3D human shape and pose estimation from a monocular video, models tra...
share
research
∙
09/09/2023
UnitModule: A Lightweight Joint Image Enhancement Module for Underwater Object Detection
Underwater object detection faces the problem of underwater image degrad...
research
∙
08/24/2023
Mind vs. Mouth: On Measuring Re-judge Inconsistency of Social Bias in Large Language Models
Recent researches indicate that Pre-trained Large Language Models (LLMs)...
research
∙
08/10/2023
Unleashing the Strengths of Unlabeled Data in Pan-cancer Abdominal Organ Quantification: the FLARE22 Challenge
Quantitative organ assessment is an essential step in automated abdomina...
research
∙
07/20/2023
Jina Embeddings: A Novel Set of High-Performance Sentence Embedding Models
Jina Embeddings constitutes a set of high-performance sentence embedding...
research
∙
07/16/2023
Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement Learning
Goal-conditioned reinforcement learning (RL) is an interesting extension...
research
∙
07/16/2023
Facilitating Multi-turn Emotional Support Conversation with Positive Emotion Elicitation: A Reinforcement Learning Approach
Emotional support conversation (ESC) aims to provide emotional support (...
research
∙
07/08/2023
Training Physics-Informed Neural Networks via Multi-Task Optimization for Traffic Density Prediction
Physics-informed neural networks (PINNs) are a newly emerging research f...
research
∙
06/30/2023
FFPDG: Fast, Fair and Private Data Generation
Generative modeling has been used frequently in synthetic data generatio...
research
∙
06/15/2023
SplatFlow: Learning Multi-frame Optical Flow via Splatting
Occlusion problem remains a key challenge in Optical Flow Estimation (OF...
research
∙
06/02/2023
Spatially Resolved Gene Expression Prediction from H E Histology Images via Bi-modal Contrastive Learning
Histology imaging is an important tool in medical diagnosis and research...
research
∙
05/23/2023
CongFu: Conditional Graph Fusion for Drug Synergy Prediction
Drug synergy, characterized by the amplified combined effect of multiple...
research
∙
05/19/2023
Clinical Camel: An Open-Source Expert-Level Medical Language Model with Dialogue-Based Knowledge Encoding
Large Language Models (LLMs) present immense potential in the medical fi...
research
∙
05/19/2023
DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment
Sensitivity to severe occlusion and large view angles limits the usage s...
research
∙
05/19/2023
Enhancing Personalized Dialogue Generation with Contrastive Latent Variables: Combining Sparse and Dense Persona
The personalized dialogue explores the consistent relationship between d...
research
∙
05/16/2023
Boosting Event Extraction with Denoised Structure-to-Text Augmentation
Event extraction aims to recognize pre-defined event triggers and argume...
research
∙
05/06/2023
Accelerating Patch Validation for Program Repair with Interception-Based Execution Scheduling
Long patch validation time is a limiting factor for automated program re...
research
∙
05/03/2023
Clinical Note Generation from Doctor-Patient Conversations using Large Language Models: Insights from MEDIQA-Chat
This paper describes our submission to the MEDIQA-Chat 2023 shared task ...
research
∙
04/24/2023
Segment Anything in Medical Images
Segment anything model (SAM) has revolutionized natural image segmentati...
research
∙
04/09/2023
Variational operator learning: A unified paradigm for training neural operators and solving partial differential equations
Based on the variational method, we propose a novel paradigm that provid...
research
∙
02/23/2023
Empathetic Response Generation via Emotion Cause Transition Graph
Empathetic dialogue is a human-like behavior that requires the perceptio...
research
∙
02/08/2023
DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks
Learning the causal structure of observable variables is a central focus...
research
∙
01/26/2023
User-Customizable Transpilation of Scripting Languages
A transpiler converts code from one programming language to another. Man...
research
∙
01/12/2023
Think Twice: A Human-like Two-stage Conversational Agent for Emotional Response Generation
Towards human-like dialogue systems, current emotional dialogue approach...
research
∙
01/04/2023
Motion-based Post-Processing: Using Kalman Filter to Exclude Similar Targets in Underwater Object Tracking
Visual tracker includes network and post-processing. Despite the color d...
research
∙
12/20/2022
Exploring the Challenges of Open Domain Multi-Document Summarization
Multi-document summarization (MDS) has traditionally been studied assumi...
research
∙
12/07/2022
On the Convergence of the Multi-scale Deep Neural Network (MscaleDNN) in Approximating Oscillatory Functions
In this paper, we derive diffusion models for the error evolution for a ...
research
∙
11/30/2022
Gradient Domain Weighted Guided Image Filtering
As an excellent local filter, guided image filters are subject to halo a...
research
∙
11/25/2022
CodeExp: Explanatory Code Document Generation
Developing models that can automatically generate detailed code explanat...
research
∙
11/05/2022
Aligning Recommendation and Conversation via Dual Imitation
Human conversations of recommendation naturally involve the shift of int...
research
∙
11/04/2022
OSIC: A New One-Stage Image Captioner Coined
Mainstream image caption models are usually two-stage captioners, i.e., ...
research
∙
10/28/2022
Low-Complexity Channel Estimation for Massive MIMO Systems with Decentralized Baseband Processing
The traditional centralized baseband processing architecture is faced wi...
research
∙
10/19/2022
GraphCSPN: Geometry-Aware Depth Completion via Dynamic GCNs
Image guided depth completion aims to recover per-pixel dense depth maps...
research
∙
08/25/2022
Bottom-Up 2D Pose Estimation via Dual Anatomical Centers for Small-Scale Persons
In multi-person 2D pose estimation, the bottom-up methods simultaneously...
research
∙
08/18/2022
CASE: Aligning Coarse-to-Fine Cognition and Affection for Empathetic Response Generation
Empathy is a trait that naturally manifests in human conversation. Theor...
research
∙
08/08/2022
Template-based Abstractive Microblog Opinion Summarisation
We introduce the task of microblog opinion summarisation (MOS) and share...
research
∙
07/16/2022
Model-Aware Contrastive Learning: Towards Escaping Uniformity-Tolerance Dilemma in Training
Instance discrimination contrastive learning (CL) has achieved significa...
research
∙
07/12/2022
Indoor optical fiber eavesdropping approach and its avoidance
The optical fiber network has become a worldwide infrastructure. In addi...
research
∙
05/12/2022
Dynamic Prefix-Tuning for Generative Template-based Event Extraction
We consider event extraction in a generative manner with template-based ...
research
∙
05/02/2022
Dual networks based 3D Multi-Person Pose Estimation from Monocular Video
Monocular 3D human pose estimation has made progress in recent years. Mo...
research
∙
04/03/2022
A sequence-to-sequence approach for document-level relation extraction
Motivated by the fact that many relations cross the sentence boundary, t...
research
∙
03/31/2022
Traffic4cast at NeurIPS 2021 – Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes
The IARAI Traffic4cast competitions at NeurIPS 2019 and 2020 showed that...
research
∙
03/29/2022
Hybrid Routing Transformer for Zero-Shot Learning
Zero-shot learning (ZSL) aims to learn models that can recognize unseen ...
research
∙
03/04/2022
Interactive Image Synthesis with Panoptic Layout Generation
Interactive image synthesis from user-guided input is a challenging task...
research
∙
02/07/2022
A Coarse-to-fine Morphological Approach With Knowledge-based Rules and Self-adapting Correction for Lung Nodules Segmentation
The segmentation module which precisely outlines the nodules is a crucia...
research
∙
01/31/2022
MHSnet: Multi-head and Spatial Attention Network with False-Positive Reduction for Pulmonary Nodules Detection
The mortality of lung cancer has ranked high among cancers for many year...
research
∙
01/28/2022
Neural-FST Class Language Model for End-to-End Speech Recognition
We propose Neural-FST Class Language Model (NFCLM) for end-to-end speech...
research
∙
12/31/2021
Random cohort effects and age groups dependency structure for mortality modelling and forecasting: Mixed-effects time-series model approach
There have been significant efforts devoted to solving the longevity ris...
research
∙
12/21/2021
High-Fidelity Point Cloud Completion with Low-Resolution Recovery and Noise-Aware Upsampling
Completing an unordered partial point cloud is a challenging task. Exist...
research
∙
11/10/2021
