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09/02/2023
RenAIssance: A Survey into AI Text-to-Image Generation in the Era of Large Model
Text-to-image generation (TTI) refers to the usage of models that could ...
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08/31/2023
CktGNN: Circuit Graph Neural Network for Electronic Design Automation
The electronic design automation of analog circuits has been a longstand...
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08/30/2023
MerA: Merging Pretrained Adapters For Few-Shot Learning
Adapter tuning, which updates only a few parameters, has become a mainst...
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08/18/2023
Towards Understanding the Generalizability of Delayed Stochastic Gradient Descent
Stochastic gradient descent (SGD) performed in an asynchronous manner pl...
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03/24/2023
Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models: A Case Study on ChatGPT
Generative large language models (LLMs), e.g., ChatGPT, have demonstrate...
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03/13/2023
TriDet: Temporal Action Detection with Relative Boundary Modeling
In this paper, we present a one-stage framework TriDet for temporal acti...
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02/19/2023
Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT
Recently, ChatGPT has attracted great attention, as it can generate flue...
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02/08/2023
Improving the Model Consistency of Decentralized Federated Learning
To mitigate the privacy leakages and communication burdens of Federated ...
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12/21/2022
From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language Models
Large language models (LLMs) have demonstrated excellent zero-shot gener...
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12/12/2022
Diff-Font: Diffusion Model for Robust One-Shot Font Generation
Font generation is a difficult and time-consuming task, especially in th...
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11/25/2022
3DDesigner: Towards Photorealistic 3D Object Generation and Editing with Text-guided Diffusion Models
Text-guided diffusion models have shown superior performance in image/vi...
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11/21/2022
SLLEN: Semantic-aware Low-light Image Enhancement Network
How to effectively explore semantic feature is vital for low-light image...
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09/20/2022
Towards Robust Referring Image Segmentation
Referring Image Segmentation (RIS) aims to connect image and language vi...
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09/20/2022
Vega-MT: The JD Explore Academy Translation System for WMT22
We describe the JD Explore Academy's submission of the WMT 2022 shared g...
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08/25/2022
Shortcut Learning of Large Language Models in Natural Language Understanding: A Survey
Large language models (LLMs) have achieved state-of-the-art performance ...
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08/22/2022
PANDA: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation
Prompt-tuning, which freezes pretrained language models (PLMs) and only ...
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07/24/2022
Learning Graph Neural Networks for Image Style Transfer
State-of-the-art parametric and non-parametric style transfer approaches...
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05/30/2022
E2S2: Encoding-Enhanced Sequence-to-Sequence Pretraining for Language Understanding and Generation
Sequence-to-sequence (seq2seq) learning has become a popular trend for p...
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05/19/2022
Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-based Beam Search
Existing trackers usually select a location or proposal with the maximum...
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05/10/2022
Theory of Quantum Generative Learning Models with Maximum Mean Discrepancy
The intrinsic probabilistic nature of quantum mechanics invokes endeavor...
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04/16/2022
Bridging Cross-Lingual Gaps During Leveraging the Multilingual Sequence-to-Sequence Pretraining for Text Generation
For multilingual sequence-to-sequence pretrained language models (multil...
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04/10/2022
Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation
Panoptic Part Segmentation (PPS) aims to unify panoptic segmentation and...
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04/10/2022
Fashionformer: A simple, Effective and Unified Baseline for Human Fashion Segmentation and Recognition
Human fashion understanding is one important computer vision task since ...
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04/04/2022
BatchFormerV2: Exploring Sample Relationships for Dense Representation Learning
Attention mechanisms have been very popular in deep neural networks, whe...
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03/08/2022
Where Does the Performance Improvement Come From? – A Reproducibility Concern about Image-Text Retrieval
This paper seeks to provide the information retrieval community with som...
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01/13/2022
TransVOD: End-to-end Video Object Detection with Spatial-Temporal Transformers
Detection Transformer (DETR) and Deformable DETR have been proposed to e...
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12/13/2021
DGL-GAN: Discriminator Guided Learning for GAN Compression
Generative Adversarial Networks (GANs) with high computation costs, e.g....
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12/02/2021
Video Frame Interpolation without Temporal Priors
Video frame interpolation, which aims to synthesize non-exist intermedia...
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08/08/2021
One-Shot Object Affordance Detection in the Wild
Affordance detection refers to identifying the potential action possibil...
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07/27/2021
Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers
Detection transformers have recently shown promising object detection re...
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07/15/2021
Deep Automatic Natural Image Matting
Automatic image matting (AIM) refers to estimating the soft foreground f...
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06/29/2021
On exploring practical potentials of quantum auto-encoder with advantages
Quantum auto-encoder (QAE) is a powerful tool to relieve the curse of di...
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06/07/2021
Commutative Lie Group VAE for Disentanglement Learning
We view disentanglement learning as discovering an underlying structure ...
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04/29/2021
Privacy-Preserving Portrait Matting
Recently, there has been an increasing concern about the privacy issue r...
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03/10/2021
Manifold Regularized Dynamic Network Pruning
Neural network pruning is an essential approach for reducing the computa...
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11/30/2020
DUT: Learning Video Stabilization by Simply Watching Unstable Videos
We propose a Deep Unsupervised Trajectory-based stabilization framework ...
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10/13/2020
Experimental Quantum Generative Adversarial Networks for Image Generation
Quantum machine learning is expected to be one of the first practical ap...
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08/10/2020
Nighttime Dehazing with a Synthetic Benchmark
Increasing the visibility of nighttime hazy images is challenging becaus...
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06/09/2020
Knowledge Distillation: A Survey
In recent years, deep neural networks have been very successful in the f...
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03/13/2020
A Spatial-Temporal Attentive Network with Spatial Continuity for Trajectory Prediction
It remains challenging to automatically predict the multi-agent trajecto...
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02/10/2020
Towards Mixture Proportion Estimation without Irreducibility
Mixture proportion estimation (MPE) is a fundamental problem of practica...
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02/03/2020
Towards High Performance Human Keypoint Detection
Human keypoint detection from a single image is very challenging due to ...
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11/28/2019
All you need is a good representation: A multi-level and classifier-centric representation for few-shot learning
The main problems of few-shot learning are how to learn a generalized re...
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06/05/2019
One-pass Multi-task Networks with Cross-task Guided Attention for Brain Tumor Segmentation
Class imbalance has been one of the major challenges for medical image s...
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04/13/2019
dipIQ: Blind Image Quality Assessment by Learning-to-Rank Discriminable Image Pairs
Objective assessment of image quality is fundamentally important in many...
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04/02/2019
Why ResNet Works? Residuals Generalize
Residual connections significantly boost the performance of deep neural ...
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01/11/2019
An Underwater Image Enhancement Benchmark Dataset and Beyond
Underwater image enhancement has been attracting much attention due to i...
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04/13/2018
FishEyeRecNet: A Multi-Context Collaborative Deep Network for Fisheye Image Rectification
Images captured by fisheye lenses violate the pinhole camera assumption ...
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04/12/2018
Causal Generative Domain Adaptation Networks
We propose a new generative model for domain adaptation, in which traini...
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12/12/2017
