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09/18/2023
VisualProg Distiller: Learning to Fine-tune Non-differentiable Visual Programming Frameworks
As an interpretable and universal neuro-symbolic paradigm based on Large...
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09/09/2023
Towards Real-World Burst Image Super-Resolution: Benchmark and Method
Despite substantial advances, single-image super-resolution (SISR) is al...
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08/23/2023
EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE
Building scalable vision-language models to learn from diverse, multimod...
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08/22/2023
DiffCloth: Diffusion Based Garment Synthesis and Manipulation via Structural Cross-modal Semantic Alignment
Cross-modal garment synthesis and manipulation will significantly benefi...
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08/20/2023
Coordinate Transformer: Achieving Single-stage Multi-person Mesh Recovery from Videos
Multi-person 3D mesh recovery from videos is a critical first step towar...
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08/19/2023
Understanding Self-attention Mechanism via Dynamical System Perspective
The self-attention mechanism (SAM) is widely used in various fields of a...
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08/13/2023
LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts
Thanks to the rapid development of diffusion models, unprecedented progr...
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06/30/2023
Exploration and Exploitation of Unlabeled Data for Open-Set Semi-Supervised Learning
In this paper, we address a complex but practical scenario in semi-super...
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05/23/2023
Control-A-Video: Controllable Text-to-Video Generation with Diffusion Models
This paper presents a controllable text-to-video (T2V) diffusion model, ...
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05/15/2023
Identity-Preserving Talking Face Generation with Landmark and Appearance Priors
Generating talking face videos from audio attracts lots of research inte...
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05/09/2023
SUR-adapter: Enhancing Text-to-Image Pre-trained Diffusion Models with Large Language Models
Diffusion models, which have emerged to become popular text-to-image gen...
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05/06/2023
Multi-object Video Generation from Single Frame Layouts
In this paper, we study video synthesis with emphasis on simplifying the...
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04/13/2023
ASR: Attention-alike Structural Re-parameterization
The structural re-parameterization (SRP) technique is a novel deep learn...
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03/20/2023
Open-World Pose Transfer via Sequential Test-Time Adaption
Pose transfer aims to transfer a given person into a specified posture, ...
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03/06/2023
Masked Images Are Counterfactual Samples for Robust Fine-tuning
Deep learning models are challenged by the distribution shift between th...
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02/13/2023
Actional Atomic-Concept Learning for Demystifying Vision-Language Navigation
Vision-Language Navigation (VLN) is a challenging task which requires an...
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02/05/2023
On Robust Numerical Solver for ODE via Self-Attention Mechanism
With the development of deep learning techniques, AI-enhanced numerical ...
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01/03/2023
OccluMix: Towards De-Occlusion Virtual Try-on by Semantically-Guided Mixup
Image Virtual try-on aims at replacing the cloth on a personal image wit...
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01/02/2023
Multi-Stage Spatio-Temporal Aggregation Transformer for Video Person Re-identification
In recent years, the Transformer architecture has shown its superiority ...
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12/06/2022
UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical Expression
Geometry problem solving is a well-recognized testbed for evaluating the...
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11/21/2022
DreamArtist: Towards Controllable One-Shot Text-to-Image Generation via Contrastive Prompt-Tuning
Large-scale text-to-image generation models have achieved remarkable pro...
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11/15/2022
Category-Adaptive Label Discovery and Noise Rejection for Multi-label Image Recognition with Partial Positive Labels
As a promising solution of reducing annotation cost, training multi-labe...
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11/12/2022
Structure-Preserving 3D Garment Modeling with Neural Sewing Machines
3D Garment modeling is a critical and challenging topic in the area of c...
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11/12/2022
Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning
We investigate a practical domain adaptation task, called source-free do...
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10/28/2022
OhMG: Zero-shot Open-vocabulary Human Motion Generation
Generating motion in line with text has attracted increasing attention n...
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10/27/2022
Layer-wise Shared Attention Network on Dynamical System Perspective
Attention networks have successfully boosted accuracy in various vision ...
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08/07/2022
Accelerating Numerical Solvers for Large-Scale Simulation of Dynamical System via NeurVec
Ensemble-based large-scale simulation of dynamical systems is essential ...
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07/31/2022
Robust Real-World Image Super-Resolution against Adversarial Attacks
Recently deep neural networks (DNNs) have achieved significant success i...
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07/13/2022
Adversarially-Aware Robust Object Detector
Object detection, as a fundamental computer vision task, has achieved a ...
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07/04/2022
Discourse-Aware Graph Networks for Textual Logical Reasoning
Textual logical reasoning, especially question answering (QA) tasks with...
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06/06/2022
Real-World Image Super-Resolution by Exclusionary Dual-Learning
Real-world image super-resolution is a practical image restoration probl...
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05/23/2022
Heterogeneous Semantic Transfer for Multi-label Recognition with Partial Labels
Multi-label image recognition with partial labels (MLR-PL), in which som...
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05/17/2022
LogicSolver: Towards Interpretable Math Word Problem Solving with Logical Prompt-enhanced Learning
Recently, deep learning models have made great progress in MWP solving o...
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05/07/2022
Dual Adversarial Adaptation for Cross-Device Real-World Image Super-Resolution
Due to the sophisticated imaging process, an identical scene captured by...
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05/06/2022
Continual Object Detection via Prototypical Task Correlation Guided Gating Mechanism
Continual learning is a challenging real-world problem for constructing ...
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04/08/2022
Semantic Representation and Dependency Learning for Multi-Label Image Recognition
Recently many multi-label image recognition (MLR) works have made signif...
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03/07/2022
Open Set Domain Adaptation By Novel Class Discovery
In Open Set Domain Adaptation (OSDA), large amounts of target samples ar...
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03/04/2022
Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels
Training the multi-label image recognition models with partial labels, i...
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02/26/2022
Unsupervised Domain Adaptive Salient Object Detection Through Uncertainty-Aware Pseudo-Label Learning
Recent advances in deep learning significantly boost the performance of ...
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12/21/2021
Structured Semantic Transfer for Multi-Label Recognition with Partial Labels
Multi-label image recognition is a fundamental yet practical task becaus...
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11/30/2021
Aerial Images Meet Crowdsourced Trajectories: A New Approach to Robust Road Extraction
Land remote sensing analysis is a crucial research in earth science. In ...
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11/08/2021
Enhancing Prototypical Few-Shot Learning by Leveraging the Local-Level Strategy
Aiming at recognizing the samples from novel categories with few referen...
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10/27/2021
Image Comes Dancing with Collaborative Parsing-Flow Video Synthesis
Transferring human motion from a source to a target person poses great p...
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10/26/2021
Plug-and-Play Few-shot Object Detection with Meta Strategy and Explicit Localization Inference
Aiming at recognizing and localizing the object of novel categories by a...
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10/16/2021
Explore before Moving: A Feasible Path Estimation and Memory Recalling Framework for Embodied Navigation
An embodied task such as embodied question answering (EmbodiedQA), requi...
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09/29/2021
Road Network Guided Fine-Grained Urban Traffic Flow Inference
Accurate inference of fine-grained traffic flow from coarse-grained one ...
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09/19/2021
Wav-BERT: Cooperative Acoustic and Linguistic Representation Learning for Low-Resource Speech Recognition
Unifying acoustic and linguistic representation learning has become incr...
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08/22/2021
Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift
Recently proposed neural architecture search (NAS) methods co-train bill...
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08/12/2021
Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning
Open-set semi-supervised learning (open-set SSL) investigates a challeng...
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07/23/2021
