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08/07/2023
Learning Photometric Feature Transform for Free-form Object Scan
We propose a novel framework to automatically learn to aggregate and tra...
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07/21/2023
Alleviating the Long-Tail Problem in Conversational Recommender Systems
Conversational recommender systems (CRS) aim to provide the recommendati...
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06/19/2023
JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving
Although pre-trained language models (PLMs) have recently advanced the r...
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06/10/2023
From NeRFLiX to NeRFLiX++: A General NeRF-Agnostic Restorer Paradigm
Neural radiance fields (NeRF) have shown great success in novel view syn...
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06/05/2023
Improving Conversational Recommendation Systems via Counterfactual Data Simulation
Conversational recommender systems (CRSs) aim to provide recommendation ...
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06/04/2023
Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning
Chain-of-thought prompting (CoT) and tool augmentation have been validat...
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06/03/2023
BEDRF: Bidirectional Edge Diffraction Response Function for Interactive Sound Propagation
We introduce bidirectional edge diffraction response function (BEDRF), a...
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05/23/2023
ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models
Although large language models (LLMs) have achieved excellent performanc...
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05/17/2023
Evaluating Object Hallucination in Large Vision-Language Models
Inspired by the superior language abilities of large language models (LL...
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05/16/2023
StructGPT: A General Framework for Large Language Model to Reason over Structured Data
In this paper, we study how to improve the zero-shot reasoning ability o...
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05/06/2023
Diffusion-NAT: Self-Prompting Discrete Diffusion for Non-Autoregressive Text Generation
Recently, continuous diffusion models (CDM) have been introduced into no...
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03/13/2023
NeRFLiX: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-viewpoint MiXer
Neural radiance fields (NeRF) show great success in novel view synthesis...
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03/12/2023
Diffusion Models for Non-autoregressive Text Generation: A Survey
Non-autoregressive (NAR) text generation has attracted much attention in...
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12/15/2022
Visually-augmented pretrained language models for NLP tasks without images
Although pre-trained language models (PLMs) have shown impressive perfor...
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12/15/2022
MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders are Better Dense Retrievers
Dense retrieval aims to map queries and passages into low-dimensional ve...
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12/02/2022
UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph
Multi-hop Question Answering over Knowledge Graph (KGQA) aims to find th...
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11/25/2022
Mutual Guidance and Residual Integration for Image Enhancement
Previous studies show the necessity of global and local adjustment for i...
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11/08/2022
Fast GPU-Based Two-Way Continuous Collision Handling
Step-and-project is a popular way to simulate non-penetrated deformable ...
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10/25/2022
Mixed Emotion Modelling for Emotional Voice Conversion
Emotional voice conversion (EVC) aims to convert the emotional state of ...
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10/21/2022
SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval
Sampling proper negatives from a large document pool is vital to effecti...
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08/11/2022
Speech Synthesis with Mixed Emotions
Emotional speech synthesis aims to synthesize human voices with various ...
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06/19/2022
Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning
Conversational recommender systems (CRS) aim to proactively elicit user ...
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06/13/2022
JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding
This paper aims to advance the mathematical intelligence of machines by ...
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05/09/2022
NeuralHDHair: Automatic High-fidelity Hair Modeling from a Single Image Using Implicit Neural Representations
Undoubtedly, high-fidelity 3D hair plays an indispensable role in digita...
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05/04/2022
Great Truths are Always Simple: A Rather Simple Knowledge Encoder for Enhancing the Commonsense Reasoning Capacity of Pre-Trained Models
Commonsense reasoning in natural language is a desired ability of artifi...
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05/03/2022
Predicting Loose-Fitting Garment Deformations Using Bone-Driven Motion Networks
We present a learning algorithm that uses bone-driven motion networks to...
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05/02/2022
Debiased Contrastive Learning of Unsupervised Sentence Representations
Recently, contrastive learning has been shown to be effective in improvi...
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03/29/2022
MAT: Mask-Aware Transformer for Large Hole Image Inpainting
Recent studies have shown the importance of modeling long-range interact...
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03/29/2022
Efficient Reflectance Capture with a Deep Gated Mixture-of-Experts
We present a novel framework to efficiently acquire near-planar anisotro...
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03/20/2022
NeuralReshaper: Single-image Human-body Retouching with Deep Neural Networks
In this paper, we present NeuralReshaper, a novel method for semantic re...
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03/19/2022
Exploring Motion Ambiguity and Alignment for High-Quality Video Frame Interpolation
For video frame interpolation (VFI), existing deep-learning-based approa...
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03/16/2022
DiFT: Differentiable Differential Feature Transform for Multi-View Stereo
We present a novel framework to automatically learn to transform the dif...
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02/28/2022
Filter-enhanced MLP is All You Need for Sequential Recommendation
Recently, deep neural networks such as RNN, CNN and Transformer have bee...
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02/03/2022
A Psychoacoustic Quality Criterion for Path-Traced Sound Propagation
In developing virtual acoustic environments, it is important to understa...
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01/10/2022
Emotion Intensity and its Control for Emotional Voice Conversion
Emotional voice conversion (EVC) seeks to convert the emotional state of...
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01/04/2022
C2-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System
Conversational recommender systems (CRS) aim to recommend suitable items...
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11/30/2021
Revisiting Temporal Alignment for Video Restoration
Long-range temporal alignment is critical yet challenging for video rest...
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10/20/2021
Identity Conversion for Emotional Speakers: A Study for Disentanglement of Emotion Style and Speaker Identity
Expressive voice conversion performs identity conversion for emotional s...
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09/13/2021
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models
Recent works have shown that powerful pre-trained language models (PLM) ...
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08/11/2021
GCN-Denoiser: Mesh Denoising with Graph Convolutional Networks
In this paper, we present GCN-Denoiser, a novel feature-preserving mesh ...
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07/18/2021
Proactive Retrieval-based Chatbots based on Relevant Knowledge and Goals
A proactive dialogue system has the ability to proactively lead the conv...
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07/08/2021
Expressive Voice Conversion: A Joint Framework for Speaker Identity and Emotional Style Transfer
Traditional voice conversion(VC) has been focused on speaker identity co...
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06/12/2021
Curriculum Pre-Training Heterogeneous Subgraph Transformer for Top-N Recommendation
Due to the flexibility in modelling data heterogeneity, heterogeneous in...
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05/31/2021
Emotional Voice Conversion: Theory, Databases and ESD
In this paper, we first provide a review of the state-of-the-art emotion...
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05/21/2021
LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-Resolution and Beyond
Single image super-resolution (SISR) deals with a fundamental problem of...
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03/31/2021
Limited Data Emotional Voice Conversion Leveraging Text-to-Speech: Two-stage Sequence-to-Sequence Training
Emotional voice conversion (EVC) aims to change the emotional state of a...
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03/29/2021
Best-Buddy GANs for Highly Detailed Image Super-Resolution
We consider the single image super-resolution (SISR) problem, where a hi...
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03/27/2021
Learning Efficient Photometric Feature Transform for Multi-view Stereo
We present a novel framework to learn to convert the perpixel photometri...
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03/25/2021
BERT4SO: Neural Sentence Ordering by Fine-tuning BERT
Sentence ordering aims to arrange the sentences of a given text in the c...
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03/09/2021