research
∙
08/19/2023
ControlRetriever: Harnessing the Power of Instructions for Controllable Retrieval
Recent studies have shown that dense retrieval models, lacking dedicated...
share
research
∙
08/15/2023
Dancing Avatar: Pose and Text-Guided Human Motion Videos Synthesis with Image Diffusion Model
The rising demand for creating lifelike avatars in the digital realm has...
research
∙
08/08/2023
Empowering Vision-Language Models to Follow Interleaved Vision-Language Instructions
Multimodal Large Language Models (MLLMs) have recently sparked significa...
research
∙
07/24/2023
MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning
In this work, we investigate the problem of out-of-distribution (OOD) ge...
research
∙
05/23/2023
Global Structure Knowledge-Guided Relation Extraction Method for Visually-Rich Document
Visual relation extraction (VRE) aims to extract relations between entit...
research
∙
05/22/2023
Interactive Data Synthesis for Systematic Vision Adaptation via LLMs-AIGCs Collaboration
Recent text-to-image generation models have shown promising results in g...
research
∙
05/21/2023
InstructVid2Vid: Controllable Video Editing with Natural Language Instructions
We present an end-to-end diffusion-based method for editing videos with ...
research
∙
05/11/2023
Continual Vision-Language Representation Learning with Off-Diagonal Information
This paper discusses the feasibility of continuously training the CLIP m...
research
∙
05/08/2023
SkillQG: Learning to Generate Question for Reading Comprehension Assessment
We present : a question generation framework with controllable comprehen...
research
∙
04/20/2023
Learning in Imperfect Environment: Multi-Label Classification with Long-Tailed Distribution and Partial Labels
Conventional multi-label classification (MLC) methods assume that all sa...
research
∙
03/23/2023
Visually-Prompted Language Model for Fine-Grained Scene Graph Generation in an Open World
Scene Graph Generation (SGG) aims to extract <subject, predicate, object...
research
∙
03/22/2023
Meta-augmented Prompt Tuning for Better Few-shot Learning
Prompt tuning is a parameter-efficient method, which freezes all PLM par...
research
∙
03/16/2023
SmartBERT: A Promotion of Dynamic Early Exiting Mechanism for Accelerating BERT Inference
Dynamic early exiting has been proven to improve the inference speed of ...
research
∙
03/12/2023
Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models
Prompt tuning, a recently emerging paradigm, enables the powerful vision...
research
∙
03/09/2023
Structure-Aware Group Discrimination with Adaptive-View Graph Encoder: A Fast Graph Contrastive Learning Framework
Albeit having gained significant progress lately, large-scale graph repr...
research
∙
03/07/2023
Lformer: Text-to-Image Generation with L-shape Block Parallel Decoding
Generative transformers have shown their superiority in synthesizing hig...
research
∙
02/24/2023
SGL-PT: A Strong Graph Learner with Graph Prompt Tuning
Recently, much exertion has been paid to design graph self-supervised me...
research
∙
01/22/2023
Variational Cross-Graph Reasoning and Adaptive Structured Semantics Learning for Compositional Temporal Grounding
Temporal grounding is the task of locating a specific segment from an un...
research
∙
10/14/2022
Fine-grained Category Discovery under Coarse-grained supervision with Hierarchical Weighted Self-contrastive Learning
Novel category discovery aims at adapting models trained on known catego...
research
∙
10/06/2022
Distilling Task-specific Logical Rules from Large Pre-trained Models
Logical rules, both transferable and explainable, are widely used as wea...
research
∙
10/02/2022
Citation Trajectory Prediction via Publication Influence Representation Using Temporal Knowledge Graph
Predicting the impact of publications in science and technology has beco...
research
∙
08/04/2022
Fine-Grained Semantically Aligned Vision-Language Pre-Training
Large-scale vision-language pre-training has shown impressive advances i...
research
∙
08/03/2022
Dilated Context Integrated Network with Cross-Modal Consensus for Temporal Emotion Localization in Videos
Understanding human emotions is a crucial ability for intelligent robots...
research
∙
07/09/2022
BOSS: Bottom-up Cross-modal Semantic Composition with Hybrid Counterfactual Training for Robust Content-based Image Retrieval
Content-Based Image Retrieval (CIR) aims to search for a target image by...
research
∙
06/07/2022
Collaborative Intelligence Orchestration: Inconsistency-Based Fusion of Semi-Supervised Learning and Active Learning
While annotating decent amounts of data to satisfy sophisticated learnin...
research
∙
06/04/2022
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile
Recent years have seen a surge of interest in meta-learning techniques f...
research
∙
04/29/2022
QRelScore: Better Evaluating Generated Questions with Deeper Understanding of Context-aware Relevance
Existing metrics for assessing question generation not only require cost...
research
∙
04/29/2022
RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning
Graph contrastive learning has gained significant progress recently. How...
research
∙
03/24/2022
Compositional Temporal Grounding with Structured Variational Cross-Graph Correspondence Learning
Temporal grounding in videos aims to localize one target video segment t...
research
∙
03/05/2022
Feeding What You Need by Understanding What You Learned
Machine Reading Comprehension (MRC) reveals the ability to understand a ...
research
∙
01/01/2022
Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB Images
Training deep models for RGB-D salient object detection (SOD) often requ...
research
∙
12/02/2021
Consensus Graph Representation Learning for Better Grounded Image Captioning
The contemporary visual captioning models frequently hallucinate objects...
research
∙
12/02/2021
Relational Graph Learning for Grounded Video Description Generation
Grounded video description (GVD) encourages captioning models to attend ...
research
∙
11/18/2021
Self-Supervised Class Incremental Learning
Existing Class Incremental Learning (CIL) methods are based on a supervi...
research
∙
09/29/2021
Federated Self-Supervised Contrastive Learning via Ensemble Similarity Distillation
This paper investigates the feasibility of learning good representation ...
research
∙
07/30/2021
On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals
It is a consensus that small models perform quite poorly under the parad...
research
∙
07/26/2021
Alleviate Representation Overlapping in Class Incremental Learning by Contrastive Class Concentration
The challenge of the Class Incremental Learning (CIL) lies in difficulty...
research
∙
07/26/2021
Adaptive Hierarchical Graph Reasoning with Semantic Coherence for Video-and-Language Inference
Video-and-Language Inference is a recently proposed task for joint video...
research
∙
06/21/2021
CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction
The journey of reducing noise from distant supervision (DS) generated tr...
research
∙
06/21/2021
Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training
With recent advances in distantly supervised (DS) relation extraction (R...
research
∙
05/17/2021
To be a fast adaptive learner: using game history to defeat opponents
In many real-world games, such as traders repeatedly bargaining with cus...
research
∙
04/21/2021
Improving Weakly-supervised Object Localization via Causal Intervention
The recent emerged weakly supervised object localization (WSOL) methods ...
research
∙
04/13/2021
Disentangled Motif-aware Graph Learning for Phrase Grounding
In this paper, we propose a novel graph learning framework for phrase gr...
research
∙
11/22/2020
Run Away From your Teacher: Understanding BYOL by a Novel Self-Supervised Approach
Recently, a newly proposed self-supervised framework Bootstrap Your Own ...
research
∙
10/02/2020
MGD-GAN: Text-to-Pedestrian generation through Multi-Grained Discrimination
In this paper, we investigate the problem of text-to-pedestrian synthesi...
research
∙
08/28/2020
Two Step Joint Model for Drug Drug Interaction Extraction
When patients need to take medicine, particularly taking more than one k...
research
∙
08/11/2020
Topic Adaptation and Prototype Encoding for Few-Shot Visual Storytelling
Visual Storytelling (VIST) is a task to tell a narrative story about a c...
research
∙
06/04/2020
Deep Sequential Feature Learning in Clinical Image Classification of Infectious Keratitis
Infectious keratitis is the most common entities of corneal diseases, in...
research
∙
05/08/2020
NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results
This paper reviews the NTIRE 2020 challenge on real image denoising with...
research
∙
05/07/2020
