research
∙
09/10/2023
Chat2Brain: A Method for Mapping Open-Ended Semantic Queries to Brain Activation Maps
Over decades, neuroscience has accumulated a wealth of research results ...
share
research
∙
08/28/2023
9DTact: A Compact Vision-Based Tactile Sensor for Accurate 3D Shape Reconstruction and Generalizable 6D Force Estimation
The advancements in vision-based tactile sensors have boosted the aptitu...
research
∙
08/26/2023
Price-Discrimination Game for Distributed Resource Management in Federated Learning
In vanilla federated learning (FL) such as FedAvg, the parameter server ...
research
∙
08/22/2023
StoryBench: A Multifaceted Benchmark for Continuous Story Visualization
Generating video stories from text prompts is a complex task. In additio...
research
∙
08/18/2023
Differentiable Retrieval Augmentation via Generative Language Modeling for E-commerce Query Intent Classification
Retrieval augmentation, which enhances downstream models by a knowledge ...
research
∙
08/17/2023
A Framework for Designing Fair Ubiquitous Computing Systems
Over the past few decades, ubiquitous sensors and systems have been an i...
research
∙
07/31/2023
NEON: Living Needs Prediction System in Meituan
Living needs refer to the various needs in human's daily lives for survi...
research
∙
07/27/2023
Space-Air-Ground Integrated Network (SAGIN): A Survey
Since existing mobile communication networks may not be able to meet the...
research
∙
06/29/2023
ArrayBot: Reinforcement Learning for Generalizable Distributed Manipulation through Touch
We present ArrayBot, a distributed manipulation system consisting of a 1...
research
∙
06/01/2023
Learning Disentangled Prompts for Compositional Image Synthesis
We study domain-adaptive image synthesis, the problem of teaching pretra...
research
∙
05/25/2023
Diversify Your Vision Datasets with Automatic Diffusion-Based Augmentation
Many fine-grained classification tasks, like rare animal identification,...
research
∙
05/10/2023
Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagation
Deep spiking neural networks (SNNs) have drawn much attention in recent ...
research
∙
04/24/2023
Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network
Spiking neural networks (SNNs) offer a promising energy-efficient altern...
research
∙
04/22/2023
On-Device Intelligence for 5G RAN: Knowledge Transfer and Federated Learning enabled UE-Centric Traffic Steering
Traffic steering (TS) is a promising approach to support various service...
research
∙
04/18/2023
Pelphix: Surgical Phase Recognition from X-ray Images in Percutaneous Pelvic Fixation
Surgical phase recognition (SPR) is a crucial element in the digital tra...
research
∙
04/14/2023
Identity Encoder for Personalized Diffusion
Many applications can benefit from personalized image generation models,...
research
∙
04/05/2023
Taming Encoder for Zero Fine-tuning Image Customization with Text-to-Image Diffusion Models
This paper proposes a method for generating images of customized objects...
research
∙
03/20/2023
SVDiff: Compact Parameter Space for Diffusion Fine-Tuning
Diffusion models have achieved remarkable success in text-to-image gener...
research
∙
03/16/2023
Steering Prototype with Prompt-tuning for Rehearsal-free Continual Learning
Prototype, as a representation of class embeddings, has been explored to...
research
∙
03/08/2023
Streaming Kernel PCA Algorithm With Small Space
Principal Component Analysis (PCA) is a widely used technique in machine...
research
∙
03/01/2023
StraIT: Non-autoregressive Generation with Stratified Image Transformer
We propose Stratified Image Transformer(StraIT), a pure non-autoregressi...
research
∙
01/26/2023
Evolution of Filter Bubbles and Polarization in News Recommendation
Recent work in news recommendation has demonstrated that recommenders ca...
research
∙
12/15/2022
Enhanced Training of Query-Based Object Detection via Selective Query Recollection
This paper investigates a phenomenon where query-based object detectors ...
research
∙
12/07/2022
Magic: Multi Art Genre Intelligent Choreography Dataset and Network for 3D Dance Generation
Achieving multiple genres and long-term choreography sequences from give...
research
∙
11/29/2022
Dimensionality-Varying Diffusion Process
Diffusion models, which learn to reverse a signal destruction process to...
research
∙
11/23/2022
Cost Splitting for Multi-Objective Conflict-Based Search
The Multi-Objective Multi-Agent Path Finding (MO-MAPF) problem is the pr...
research
∙
11/16/2022
MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis
Generative modeling and representation learning are two key tasks in com...
research
∙
11/04/2022
GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization
Recent research has demonstrated the capability of behavior signals capt...
research
∙
10/18/2022
Using Language to Extend to Unseen Domains
It is expensive to collect training data for every possible domain that ...
research
∙
10/07/2022
Topology-Preserving Segmentation Network
Medical image segmentation aims to automatically extract anatomical or p...
research
∙
10/05/2022
Towards Semi-automatic Detection and Localization of Indoor Accessibility Issues using Mobile Depth Scanning and Computer Vision
To help improve the safety and accessibility of indoor spaces, researche...
research
∙
10/05/2022
Phenaki: Variable Length Video Generation From Open Domain Textual Description
We present Phenaki, a model capable of realistic video synthesis, given ...
research
∙
10/03/2022
Visual Prompt Tuning for Generative Transfer Learning
Transferring knowledge from an image synthesis model trained on a large ...
research
∙
08/15/2022
Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets
While parameter efficient tuning (PET) methods have shown great potentia...
research
∙
08/12/2022
Pre-training Tasks for User Intent Detection and Embedding Retrieval in E-commerce Search
BERT-style models pre-trained on the general corpus (e.g., Wikipedia) an...
research
∙
08/02/2022
Federated Deep Reinforcement Learning for Resource Allocation in O-RAN Slicing
Recently, open radio access network (O-RAN) has become a promising techn...
research
∙
06/22/2022
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
We present the Pathways Autoregressive Text-to-Image (Parti) model, whic...
research
∙
05/24/2022
Faithful Explanations for Deep Graph Models
This paper studies faithful explanations for Graph Neural Networks (GNNs...
research
∙
05/19/2022
Multicast Scheduling for Multi-Message over Multi-Channel: A Permutation-based Wolpertinger Deep Reinforcement Learning Method
Multicasting is an efficient technique to simultaneously transmit common...
research
∙
05/09/2022
Self-Serviced IoT: Practical and Private IoT Computation Offloading with Full User Control
The rapid increase in the adoption of Internet-of-Things (IoT) devices r...
research
∙
05/06/2022
Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder
Dense retrievers encode texts and map them in an embedding space using p...
research
∙
04/07/2022
Powering Finetuning in Few-shot Learning: Domain-Agnostic Feature Adaptation with Rectified Class Prototypes
In recent works, utilizing a deep network trained on meta-training set s...
research
∙
04/04/2022
MaxViT: Multi-Axis Vision Transformer
Transformers have recently gained significant attention in the computer ...
research
∙
04/01/2022
Unitail: Detecting, Reading, and Matching in Retail Scene
To make full use of computer vision technology in stores, it is required...
research
∙
03/30/2022
Learning Instance-Specific Adaptation for Cross-Domain Segmentation
We propose a test-time adaptation method for cross-domain image segmenta...
research
∙
03/13/2022
PNM: Pixel Null Model for General Image Segmentation
A major challenge in image segmentation is classifying object boundaries...
research
∙
03/09/2022
Givens Coordinate Descent Methods for Rotation Matrix Learning in Trainable Embedding Indexes
Product quantization (PQ) coupled with a space rotation, is widely used ...
research
∙
02/27/2022
Topology-Preserving Segmentation Network: A Deep Learning Segmentation Framework for Connected Component
Medical image segmentation, which aims to automatically extract anatomic...
research
∙
02/21/2022
StyleBERT: Chinese pretraining by font style information
With the success of down streaming task using English pre-trained langua...
research
∙
02/08/2022
