research
∙
09/18/2023
Towards Socially Responsive Autonomous Vehicles: A Reinforcement Learning Framework with Driving Priors and Coordination Awareness
The advent of autonomous vehicles (AVs) alongside human-driven vehicles ...
share
research
∙
08/31/2023
Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images
Generating 3D faces from textual descriptions has a multitude of applica...
research
∙
07/30/2023
MTD-GPT: A Multi-Task Decision-Making GPT Model for Autonomous Driving at Unsignalized Intersections
Autonomous driving technology is poised to transform transportation syst...
research
∙
07/29/2023
Teaching Autonomous Vehicles to Express Interaction Intent during Unprotected Left Turns: A Human-Driving-Prior-Based Trajectory Planning Approach
With the integration of Autonomous Vehicles (AVs) into our transportatio...
research
∙
07/04/2023
Nexus sine qua non: Essentially connected neural networks for spatial-temporal forecasting of multivariate time series
Modeling and forecasting multivariate time series not only facilitates t...
research
∙
06/24/2023
Measuring Sociality in Driving Interaction
Interacting with other human road users is one of the most challenging t...
research
∙
05/05/2023
Cooperative Driving of Connected Autonomous Vehicles in Heterogeneous Mixed Traffic: A Game Theoretic Approach
High-density, unsignalized intersection has always been a bottleneck of ...
research
∙
05/05/2023
A Survey on Out-of-Distribution Detection in NLP
Out-of-distribution (OOD) detection is essential for the reliable and sa...
research
∙
04/11/2023
MC-ViViT: Multi-branch Classifier-ViViT to Detect Mild Cognitive Impairment in Older Adults using Facial Videos
Deep machine learning models including Convolutional Neural Networks (CN...
research
∙
03/23/2023
Keypoint-Guided Optimal Transport
Existing Optimal Transport (OT) methods mainly derive the optimal transp...
research
∙
03/10/2023
Identification and Estimation of Causal Effects with Confounders Missing Not at Random
Making causal inferences from observational studies can be challenging w...
research
∙
03/10/2023
Towards better traffic volume estimation: Tackling both underdetermined and non-equilibrium problems via a correlation-adaptive graph convolution network
Traffic volume is an indispensable ingredient to provide fine-grained in...
research
∙
03/03/2023
Generalized Semantic Segmentation by Self-Supervised Source Domain Projection and Multi-Level Contrastive Learning
Deep networks trained on the source domain show degraded performance whe...
research
∙
11/29/2022
Towards Generalized Open Information Extraction
Open Information Extraction (OpenIE) facilitates the open-domain discove...
research
∙
11/28/2022
Causal Inference with Confounders MNAR under Treatment-independent Missingness Assumption
Causal inference in observational studies can be challenging when confou...
research
∙
11/23/2022
Semi-Supervised Lifelong Language Learning
Lifelong learning aims to accumulate knowledge and alleviate catastrophi...
research
∙
11/21/2022
CGoDial: A Large-Scale Benchmark for Chinese Goal-oriented Dialog Evaluation
Practical dialog systems need to deal with various knowledge sources, no...
research
∙
11/10/2022
Estimating Soft Labels for Out-of-Domain Intent Detection
Out-of-Domain (OOD) intent detection is important for practical dialog s...
research
∙
10/21/2022
Correlating sparse sensing for network-wide traffic speed estimation: An integrated graph tensor-based kriging approach
Traffic speed is central to characterizing the fluidity of the road netw...
research
∙
10/20/2022
Doc2Bot: Accessing Heterogeneous Documents via Conversational Bots
This paper introduces Doc2Bot, a novel dataset for building machines tha...
research
∙
10/14/2022
Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue
Lifelong learning (LL) is vital for advanced task-oriented dialogue (ToD...
research
∙
09/27/2022
Stacking Ensemble Learning in Deep Domain Adaptation for Ophthalmic Image Classification
Domain adaptation is an attractive approach given the availability of a ...
research
∙
09/14/2022
SPACE-3: Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation
Recently, pre-training methods have shown remarkable success in task-ori...
research
∙
09/08/2022
Implicit Full Waveform Inversion with Deep Neural Representation
Full waveform inversion (FWI) commonly stands for the state-of-the-art a...
research
∙
08/29/2022
A Survey on Text-to-SQL Parsing: Concepts, Methods, and Future Directions
Text-to-SQL parsing is an essential and challenging task. The goal of te...
research
∙
08/18/2022
Differentiable Architecture Search with Random Features
Differentiable architecture search (DARTS) has significantly promoted th...
research
∙
07/14/2022
Layout-Aware Information Extraction for Document-Grounded Dialogue: Dataset, Method and Demonstration
Building document-grounded dialogue systems have received growing intere...
research
∙
07/06/2022
Dense Teacher: Dense Pseudo-Labels for Semi-supervised Object Detection
To date, the most powerful semi-supervised object detectors (SS-OD) are ...
research
∙
06/21/2022
Scaling up Kernels in 3D CNNs
Recent advances in 2D CNNs and vision transformers (ViTs) reveal that la...
research
∙
06/08/2022
Efficient reversible data hiding via two layers of double-peak embedding
Reversible data hiding continues to attract significant attention in rec...
research
∙
06/02/2022
PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images
In this paper, we propose PETRv2, a unified framework for 3D perception ...
research
∙
06/01/2022
Unifying Voxel-based Representation with Transformer for 3D Object Detection
In this work, we present a unified framework for multi-modality 3D objec...
research
∙
05/31/2022
Voxel Field Fusion for 3D Object Detection
In this work, we present a conceptually simple yet effective framework f...
research
∙
05/30/2022
VoGE: A Differentiable Volume Renderer using Gaussian Ellipsoids for Analysis-by-Synthesis
Differentiable rendering allows the application of computer graphics on ...
research
∙
05/30/2022
Duplex Conversation: Towards Human-like Interaction in Spoken Dialogue Systems
In this paper, we present Duplex Conversation, a multi-turn, multimodal ...
research
∙
05/28/2022
A Closer Look at Self-supervised Lightweight Vision Transformers
Self-supervised learning on large-scale Vision Transformers (ViTs) as pr...
research
∙
05/25/2022
NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results
This paper reviews the challenge on constrained high dynamic range (HDR)...
research
∙
05/24/2022
A Survey on Neural Open Information Extraction: Current Status and Future Directions
Open Information Extraction (OpenIE) facilitates domain-independent disc...
research
∙
05/19/2022
Truncated tensor Schatten p-norm based approach for spatiotemporal traffic data imputation with complicated missing patterns
Rapid advances in sensor, wireless communication, cloud computing and da...
research
∙
04/26/2022
Focal Sparse Convolutional Networks for 3D Object Detection
Non-uniformed 3D sparse data, e.g., point clouds or voxels in different ...
research
∙
04/22/2022
Distributed stochastic projection-free solver for constrained optimization
This paper proposes a distributed stochastic projection-free algorithm f...
research
∙
04/18/2022
BSRT: Improving Burst Super-Resolution with Swin Transformer and Flow-Guided Deformable Alignment
This work addresses the Burst Super-Resolution (BurstSR) task using a ne...
research
∙
04/10/2022
Simple Baselines for Image Restoration
Although there have been significant advances in the field of image rest...
research
∙
03/23/2022
Real-time Object Detection for Streaming Perception
Autonomous driving requires the model to perceive the environment and (r...
research
∙
03/22/2022
Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation
Building models of natural language processing (NLP) is challenging in l...
research
∙
03/22/2022
Rebalanced Siamese Contrastive Mining for Long-Tailed Recognition
Deep neural networks perform poorly on heavily class-imbalanced datasets...
research
∙
03/21/2022
A Slot Is Not Built in One Utterance: Spoken Language Dialogs with Sub-Slots
A slot value might be provided segment by segment over multiple-turn int...
research
∙
03/21/2022
Tree Energy Loss: Towards Sparsely Annotated Semantic Segmentation
Sparsely annotated semantic segmentation (SASS) aims to train a segmenta...
research
∙
03/15/2022
Progressive End-to-End Object Detection in Crowded Scenes
In this paper, we propose a new query-based detection framework for crow...
research
∙
03/14/2022
