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08/19/2023
ControlRetriever: Harnessing the Power of Instructions for Controllable Retrieval
Recent studies have shown that dense retrieval models, lacking dedicated...
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08/08/2023
Empowering Vision-Language Models to Follow Interleaved Vision-Language Instructions
Multimodal Large Language Models (MLLMs) have recently sparked significa...
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07/05/2023
Multi-Scale Prototypical Transformer for Whole Slide Image Classification
Whole slide image (WSI) classification is an essential task in computati...
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06/12/2023
Weakly Supervised Lesion Detection and Diagnosis for Breast Cancers with Partially Annotated Ultrasound Images
Deep learning (DL) has proven highly effective for ultrasound-based comp...
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05/25/2023
Sim-Suction: Learning a Suction Grasp Policy for Cluttered Environments Using a Synthetic Benchmark
This paper presents Sim-Suction, a robust object-aware suction grasp pol...
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05/25/2023
Multi-scale Efficient Graph-Transformer for Whole Slide Image Classification
The multi-scale information among the whole slide images (WSIs) is essen...
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05/23/2023
Global Structure Knowledge-Guided Relation Extraction Method for Visually-Rich Document
Visual relation extraction (VRE) aims to extract relations between entit...
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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...
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05/21/2023
InstructVid2Vid: Controllable Video Editing with Natural Language Instructions
We present an end-to-end diffusion-based method for editing videos with ...
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05/17/2023
Sim-MEES: Modular End-Effector System Grasping Dataset for Mobile Manipulators in Cluttered Environments
In this paper, we present Sim-MEES: a large-scale synthetic dataset that...
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04/22/2023
Fast MRI Reconstruction via Edge Attention
Fast and accurate MRI reconstruction is a key concern in modern clinical...
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04/13/2023
EWT: Efficient Wavelet-Transformer for Single Image Denoising
Transformer-based image denoising methods have achieved encouraging resu...
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03/24/2023
PFT-SSR: Parallax Fusion Transformer for Stereo Image Super-Resolution
Stereo image super-resolution aims to boost the performance of image sup...
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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...
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03/22/2023
Meta-augmented Prompt Tuning for Better Few-shot Learning
Prompt tuning is a parameter-efficient method, which freezes all PLM par...
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03/12/2023
Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models
Prompt tuning, a recently emerging paradigm, enables the powerful vision...
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02/21/2023
Lightweight Real-time Semantic Segmentation Network with Efficient Transformer and CNN
In the past decade, convolutional neural networks (CNNs) have shown prom...
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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...
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12/29/2022
Efficient Image Super-Resolution with Feature Interaction Weighted Hybrid Network
Recently, great progress has been made in single-image super-resolution ...
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10/12/2022
Auto-bidding Equilibrium in ROI-Constrained Online Advertising Markets
Most of the work in auction design literature assumes that bidders behav...
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08/04/2022
Fine-Grained Semantically Aligned Vision-Language Pre-Training
Large-scale vision-language pre-training has shown impressive advances i...
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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...
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07/13/2022
Masked Autoencoders that Listen
This paper studies a simple extension of image-based Masked Autoencoders...
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07/11/2022
Snow Mask Guided Adaptive Residual Network for Image Snow Removal
Image restoration under severe weather is a challenging task. Most of th...
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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...
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07/06/2022
Cross-receptive Focused Inference Network for Lightweight Image Super-Resolution
With the development of deep learning, single image super-resolution (SI...
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04/29/2022
Multiple Degradation and Reconstruction Network for Single Image Denoising via Knowledge Distillation
Single image denoising (SID) has achieved significant breakthroughs with...
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04/28/2022
Lightweight Bimodal Network for Single-Image Super-Resolution via Symmetric CNN and Recursive Transformer
Single-image super-resolution (SISR) has achieved significant breakthrou...
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04/20/2022
NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results
In this paper, we summarize the 1st NTIRE challenge on stereo image supe...
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04/19/2022
CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution
Recently, deep convolution neural networks (CNNs) steered face super-res...
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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...
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12/16/2021
Feature Distillation Interaction Weighting Network for Lightweight Image Super-Resolution
Convolutional neural networks based single-image super-resolution (SISR)...
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12/13/2021
MAGIC: Multimodal relAtional Graph adversarIal inferenCe for Diverse and Unpaired Text-based Image Captioning
Text-based image captioning (TextCap) requires simultaneous comprehensio...
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09/29/2021
From Beginner to Master: A Survey for Deep Learning-based Single-Image Super-Resolution
Single-image super-resolution (SISR) is an important task in image proce...
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09/02/2021
FBSNet: A Fast Bilateral Symmetrical Network for Real-Time Semantic Segmentation
Real-time semantic segmentation, which can be visually understood as the...
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08/25/2021
Efficient Transformer for Single Image Super-Resolution
Single image super-resolution task has witnessed great strides with the ...
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08/20/2021
Structure-Preserving Deraining with Residue Channel Prior Guidance
Single image deraining is important for many high-level computer vision ...
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08/09/2021
Design and Experimental Evaluation of a Hierarchical Controller for an Autonomous Ground Vehicle with Large Uncertainties
Autonomous ground vehicles (AGVs) are receiving increasing attention, an...
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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...
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06/02/2021
Feedback Network for Mutually Boosted Stereo Image Super-Resolution and Disparity Estimation
Under stereo settings, the problem of image super-resolution (SR) and di...
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03/24/2021
Lightweight Image Super-Resolution with Multi-scale Feature Interaction Network
Recently, the single image super-resolution (SISR) approaches with deep ...
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02/24/2021
Efficient and Accurate Multi-scale Topological Network for Single Image Dehazing
Single image dehazing is a challenging ill-posed problem that has drawn ...
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01/05/2021
Scale-Aware Network with Regional and Semantic Attentions for Crowd Counting under Cluttered Background
Crowd counting is an important task that shown great application value i...
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12/15/2020
Efficient Trajectory Planning for Multiple Non-holonomic Mobile Robots via Prioritized Trajectory Optimization
In this paper, we present a novel approach to efficiently generate colli...
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09/12/2020
Revisiting Factorizing Aggregated Posterior in Learning Disentangled Representations
In the problem of learning disentangled representations, one of the prom...
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08/30/2020
MDCN: Multi-scale Dense Cross Network for Image Super-Resolution
Convolutional neural networks have been proven to be of great benefit fo...
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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...
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06/24/2020
Disentangle Perceptual Learning through Online Contrastive Learning
Pursuing realistic results according to human visual perception is the c...
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03/26/2020
Integrating Combined Task and Motion Planning with Compliant Control
Planning a motion for inserting pegs remains an open problem. The diffic...
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02/26/2020
