research
∙
09/04/2023
Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models
With ever increasing parameters and computation, vision-language pre-tra...
share
research
∙
08/31/2023
3D-STMN: Dependency-Driven Superpoint-Text Matching Network for End-to-End 3D Referring Expression Segmentation
In 3D Referring Expression Segmentation (3D-RES), the earlier approach a...
research
∙
08/11/2023
Continual Face Forgery Detection via Historical Distribution Preserving
Face forgery techniques have advanced rapidly and pose serious security ...
research
∙
08/06/2023
Beyond First Impressions: Integrating Joint Multi-modal Cues for Comprehensive 3D Representation
In recent years, 3D representation learning has turned to 2D vision-lang...
research
∙
07/31/2023
Towards General Visual-Linguistic Face Forgery Detection
Deepfakes are realistic face manipulations that can pose serious threats...
research
∙
06/30/2023
Systematic Investigation of Sparse Perturbed Sharpness-Aware Minimization Optimizer
Deep neural networks often suffer from poor generalization due to comple...
research
∙
06/01/2023
Adapting Pre-trained Language Models to Vision-Language Tasks via Dynamic Visual Prompting
Pre-trained language models (PLMs) have played an increasing role in mul...
research
∙
05/24/2023
Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models
Recently, growing interest has been aroused in extending the multimodal ...
research
∙
03/28/2023
X-Mesh: Towards Fast and Accurate Text-driven 3D Stylization via Dynamic Textual Guidance
Text-driven 3D stylization is a complex and crucial task in the fields o...
research
∙
03/15/2023
Active Teacher for Semi-Supervised Object Detection
In this paper, we study teacher-student learning from the perspective of...
research
∙
02/22/2023
Towards End-to-end Semi-supervised Learning for One-stage Object Detection
Semi-supervised object detection (SSOD) is a research hot spot in comput...
research
∙
02/16/2023
Towards Efficient Visual Adaption via Structural Re-parameterization
Parameter-efficient transfer learning (PETL) is an emerging research spo...
research
∙
02/13/2023
Towards Local Visual Modeling for Image Captioning
In this paper, we study the local visual modeling with grid features for...
research
∙
01/09/2023
Towards Real-Time Panoptic Narrative Grounding by an End-to-End Grounding Network
Panoptic Narrative Grounding (PNG) is an emerging cross-modal grounding ...
research
∙
10/11/2022
Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach
Deep neural networks often suffer from poor generalization caused by com...
research
∙
07/16/2022
Clover: Towards A Unified Video-Language Alignment and Fusion Model
Building a universal video-language model for solving various video unde...
research
∙
07/15/2022
X-CLIP: End-to-End Multi-grained Contrastive Learning for Video-Text Retrieval
Video-text retrieval has been a crucial and fundamental task in multi-mo...
research
∙
04/17/2022
What Goes beyond Multi-modal Fusion in One-stage Referring Expression Comprehension: An Empirical Study
Most of the existing work in one-stage referring expression comprehensio...
research
∙
04/16/2022
Towards Lightweight Transformer via Group-wise Transformation for Vision-and-Language Tasks
Despite the exciting performance, Transformer is criticized for its exce...
research
∙
04/02/2022
PixelFolder: An Efficient Progressive Pixel Synthesis Network for Image Generation
Pixel synthesis is a promising research paradigm for image generation, w...
research
∙
03/30/2022
SeqTR: A Simple yet Universal Network for Visual Grounding
In this paper, we propose a simple yet universal network termed SeqTR fo...
research
∙
03/13/2022
Global2Local: A Joint-Hierarchical Attention for Video Captioning
Recently, automatic video captioning has attracted increasing attention,...
research
∙
03/12/2022
Differentiated Relevances Embedding for Group-based Referring Expression Comprehension
Referring expression comprehension (REC) aims to locate a certain object...
research
∙
10/17/2021
Towards Language-guided Visual Recognition via Dynamic Convolutions
In this paper, we are committed to establishing an unified and end-to-en...
research
∙
01/16/2021
Dual-Level Collaborative Transformer for Image Captioning
Descriptive region features extracted by object detection networks have ...
research
∙
12/13/2020
Improving Image Captioning by Leveraging Intra- and Inter-layer Global Representation in Transformer Network
Transformer-based architectures have shown great success in image captio...
research
∙
12/01/2020
Fast Class-wise Updating for Online Hashing
Online image hashing has received increasing research attention recently...
research
∙
03/19/2020
Multi-task Collaborative Network for Joint Referring Expression Comprehension and Segmentation
Referring expression comprehension (REC) and segmentation (RES) are two ...
research
∙
12/07/2019
A Real-time Global Inference Network for One-stage Referring Expression Comprehension
Referring Expression Comprehension (REC) is an emerging research spot in...
research
∙
11/20/2019
SSAH: Semi-supervised Adversarial Deep Hashing with Self-paced Hard Sample Generation
Deep hashing methods have been proved to be effective and efficient for ...
research
∙
10/21/2019
Hadamard Codebook Based Deep Hashing
As an approximate nearest neighbor search technique, hashing has been wi...
research
∙
10/18/2019
Toward 3D Object Reconstruction from Stereo Images
Inferring the 3D shape of an object from an RGB image has shown impressi...
research
∙
10/14/2019
Sketch-Specific Data Augmentation for Freehand Sketch Recognition
Sketch recognition remains a significant challenge due to the limited tr...
research
∙
10/14/2019
Deep Semantic Parsing of Freehand Sketches with Homogeneous Transformation, Soft-Weighted Loss, and Staged Learning
In this paper, we propose a novel deep framework for part-level semantic...
research
∙
10/09/2019
Semantic-aware Image Deblurring
Image deblurring has achieved exciting progress in recent years. However...
research
∙
08/07/2019
Scene-based Factored Attention for Image Captioning
Image captioning has attracted ever-increasing research attention in the...
research
∙
08/06/2019
Semi-Supervised Adversarial Monocular Depth Estimation
In this paper, we address the problem of monocular depth estimation when...
research
∙
06/04/2019
Information Competing Process for Learning Diversified Representations
Learning representations with diversified information remains an open pr...
research
∙
05/31/2019
Supervised Online Hashing via Similarity Distribution Learning
Online hashing has attracted extensive research attention when facing st...
research
∙
05/11/2019
Hadamard Matrix Guided Online Hashing
Online image hashing has received increasing research attention recently...
research
∙
01/31/2019
Pix2Vox: Context-aware 3D Reconstruction from Single and Multi-view Images
Recovering the 3D representation of an object from single-view or multi-...
research
∙
01/29/2019
Towards Optimal Discrete Online Hashing with Balanced Similarity
When facing large-scale image datasets, online hashing serves as a promi...
research
∙
11/09/2018
Semantic and Contrast-Aware Saliency
In this paper, we proposed an integrated model of semantic-aware and con...
research
∙
05/08/2018