research
∙
09/14/2023
Hybrid Attention-based Encoder-decoder Model for Efficient Language Model Adaptation
Attention-based encoder-decoder (AED) speech recognition model has been ...
share
research
∙
08/15/2023
Link-Context Learning for Multimodal LLMs
The ability to learn from context with novel concepts, and deliver appro...
research
∙
08/11/2023
DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models
Current deep networks are very data-hungry and benefit from training on ...
research
∙
08/11/2023
Zero-shot Text-driven Physically Interpretable Face Editing
This paper proposes a novel and physically interpretable method for face...
research
∙
08/07/2023
TPTU: Task Planning and Tool Usage of Large Language Model-based AI Agents
With recent advancements in natural language processing, Large Language ...
research
∙
08/03/2023
Automated Machine Learning in the smart construction era:Significance and accessibility for industrial classification and regression tasks
This paper explores the application of automated machine learning (AutoM...
research
∙
08/01/2023
Relation-Aware Distribution Representation Network for Person Clustering with Multiple Modalities
Person clustering with multi-modal clues, including faces, bodies, and v...
research
∙
07/24/2023
Exposing the Troublemakers in Described Object Detection
Detecting objects based on language descriptions is a popular task that ...
research
∙
07/12/2023
Unsupervised Optical Flow Estimation with Dynamic Timing Representation for Spike Camera
Efficiently selecting an appropriate spike stream data length to extract...
research
∙
06/27/2023
Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic
In human conversations, individuals can indicate relevant regions within...
research
∙
06/26/2023
Long-living Service for Cooperative Knowledge Use in Decentralized Data Stores
Personal Data Stores (PDS) like SoLiD is an emerging data and knowledge ...
research
∙
06/23/2023
Patch-Level Contrasting without Patch Correspondence for Accurate and Dense Contrastive Representation Learning
We propose ADCLR: A ccurate and D ense Contrastive Representation Learni...
research
∙
06/15/2023
Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis
Recent text-to-image generative models can generate high-fidelity images...
research
∙
06/13/2023
Retrieve Anyone: A General-purpose Person Re-identification Task with Instructions
Human intelligence can retrieve any person according to both visual and ...
research
∙
06/12/2023
Dynamic Causal Graph Convolutional Network for Traffic Prediction
Modeling complex spatiotemporal dependencies in correlated traffic serie...
research
∙
06/12/2023
Correlated Time Series Self-Supervised Representation Learning via Spatiotemporal Bootstrapping
Correlated time series analysis plays an important role in many real-wor...
research
∙
06/05/2023
MM-DAG: Multi-task DAG Learning for Multi-modal Data – with Application for Traffic Congestion Analysis
This paper proposes to learn Multi-task, Multi-modal Direct Acyclic Grap...
research
∙
06/03/2023
Balancing Logit Variation for Long-tailed Semantic Segmentation
Semantic segmentation usually suffers from a long-tail data distribution...
research
∙
05/29/2023
Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models
Public large-scale text-to-image diffusion models, such as Stable Diffus...
research
∙
05/29/2023
3D Model-based Zero-Shot Pose Estimation Pipeline
Most existing learning-based pose estimation methods are typically devel...
research
∙
05/29/2023
Deeply Coupled Cross-Modal Prompt Learning
Recent advancements in multimodal foundation models (e.g., CLIP) have ex...
research
∙
05/21/2023
Advancing Referring Expression Segmentation Beyond Single Image
Referring Expression Segmentation (RES) is a widely explored multi-modal...
research
∙
05/13/2023
Stackelberg Decision Transformer for Asynchronous Action Coordination in Multi-Agent Systems
Asynchronous action coordination presents a pervasive challenge in Multi...
research
∙
03/25/2023
Better Aligning Text-to-Image Models with Human Preference
Recent years have witnessed a rapid growth of deep generative models, wi...
research
∙
03/24/2023
MoWE: Mixture of Weather Experts for Multiple Adverse Weather Removal
Currently, most adverse weather removal tasks are handled independently,...
research
∙
03/23/2023
Explore the Power of Synthetic Data on Few-shot Object Detection
Few-shot object detection (FSOD) aims to expand an object detector for n...
research
∙
03/23/2023
CORA: Adapting CLIP for Open-Vocabulary Detection with Region Prompting and Anchor Pre-Matching
Open-vocabulary detection (OVD) is an object detection task aiming at de...
research
∙
03/21/2023
SpikeCV: Open a Continuous Computer Vision Era
SpikeCV is a new open-source computer vision platform for the spike came...
research
∙
03/15/2023
SeqCo-DETR: Sequence Consistency Training for Self-Supervised Object Detection with Transformers
Self-supervised pre-training and transformer-based networks have signifi...
research
∙
03/10/2023
HumanBench: Towards General Human-centric Perception with Projector Assisted Pretraining
Human-centric perceptions include a variety of vision tasks, which have ...
research
∙
03/06/2023
UniHCP: A Unified Model for Human-Centric Perceptions
Human-centric perceptions (e.g., pose estimation, human parsing, pedestr...
research
∙
03/02/2023
Zero-Shot Text-to-Parameter Translation for Game Character Auto-Creation
Recent popular Role-Playing Games (RPGs) saw the great success of charac...
research
∙
02/28/2023
An Effective Crop-Paste Pipeline for Few-shot Object Detection
Few-shot object detection (FSOD) aims to expand an object detector for n...
research
∙
02/28/2023
Efficient Masked Autoencoders with Self-Consistency
Inspired by masked language modeling (MLM) in natural language processin...
research
∙
02/22/2023
Saliency Guided Contrastive Learning on Scene Images
Self-supervised learning holds promise in leveraging large numbers of un...
research
∙
01/26/2023
Explore the Power of Dropout on Few-shot Learning
The generalization power of the pre-trained model is the key for few-sho...
research
∙
12/30/2022
Transformer in Transformer as Backbone for Deep Reinforcement Learning
Designing better deep networks and better reinforcement learning (RL) al...
research
∙
12/05/2022
Fast and accurate factorized neural transducer for text adaption of end-to-end speech recognition models
Neural transducer is now the most popular end-to-end model for speech re...
research
∙
12/03/2022
Exploring Stochastic Autoregressive Image Modeling for Visual Representation
Autoregressive language modeling (ALM) have been successfully used in se...
research
∙
11/27/2022
PUnifiedNER: a Prompting-based Unified NER System for Diverse Datasets
Much of named entity recognition (NER) research focuses on developing da...
research
∙
11/25/2022
MIAD: A Maintenance Inspection Dataset for Unsupervised Anomaly Detection
Visual anomaly detection plays a crucial role in not only manufacturing ...
research
∙
11/17/2022
LongFNT: Long-form Speech Recognition with Factorized Neural Transducer
Traditional automatic speech recognition (ASR) systems usually focus on ...
research
∙
10/20/2022
Uni6Dv3: 5D Anchor Mechanism for 6D Pose Estimation
Unlike indirect methods that usually require time-consuming post-process...
research
∙
10/12/2022
A Unified Framework with Meta-dropout for Few-shot Learning
Conventional training of deep neural networks usually requires a substan...
research
∙
10/08/2022
SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning
Contrastive learning methods achieve state-of-the-art results in unsuper...
research
∙
09/30/2022
What Makes Pre-trained Language Models Better Zero/Few-shot Learners?
In this paper, we propose a theoretical framework to explain the efficac...
research
∙
09/28/2022
Obj2Seq: Formatting Objects as Sequences with Class Prompt for Visual Tasks
Visual tasks vary a lot in their output formats and concerned contents, ...
research
∙
09/28/2022
High-order accurate multi-sub-step implicit integration algorithms with dissipation control for second-order hyperbolic problems
This paper develops an implicit family of sub-step integration algorithm...
research
∙
09/15/2022
Learning from Future: A Novel Self-Training Framework for Semantic Segmentation
Self-training has shown great potential in semi-supervised learning. Its...
research
∙
09/14/2022
