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08/27/2023
Computation-efficient Deep Learning for Computer Vision: A Survey
Over the past decade, deep learning models have exhibited considerable a...
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08/08/2023
Prune Spatio-temporal Tokens by Semantic-aware Temporal Accumulation
Transformers have become the primary backbone of the computer vision com...
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08/04/2023
SDDM: Score-Decomposed Diffusion Models on Manifolds for Unpaired Image-to-Image Translation
Recent score-based diffusion models (SBDMs) show promising results in un...
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07/20/2023
Human Motion Generation: A Survey
Human motion generation aims to generate natural human pose sequences an...
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06/28/2023
Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners
Representation learning has been evolving from traditional supervised tr...
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06/14/2023
Towards AGI in Computer Vision: Lessons Learned from GPT and Large Language Models
The AI community has been pursuing algorithms known as artificial genera...
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06/09/2023
Exploring Effective Mask Sampling Modeling for Neural Image Compression
Image compression aims to reduce the information redundancy in images. M...
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06/08/2023
Joint Channel Estimation and Feedback with Masked Token Transformers in Massive MIMO Systems
When the base station has downlink channel status information (CSI), the...
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05/24/2023
Reasoning over Hierarchical Question Decomposition Tree for Explainable Question Answering
Explainable question answering (XQA) aims to answer a given question and...
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05/22/2023
ControlVideo: Training-free Controllable Text-to-Video Generation
Text-driven diffusion models have unlocked unprecedented abilities in im...
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05/18/2023
Advancing Incremental Few-shot Semantic Segmentation via Semantic-guided Relation Alignment and Adaptation
Incremental few-shot semantic segmentation (IFSS) aims to incrementally ...
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05/15/2023
Mode Approximation Makes Good Vision-Language Prompts
With the advance of large-scale model technologies, parameter-efficient ...
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05/11/2023
Continual Vision-Language Representation Learning with Off-Diagonal Information
This paper discusses the feasibility of continuously training the CLIP m...
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05/10/2023
Visual Tuning
Fine-tuning visual models has been widely shown promising performance on...
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04/24/2023
Segment Anything in 3D with NeRFs
The Segment Anything Model (SAM) has demonstrated its effectiveness in s...
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04/22/2023
Pipeline MoE: A Flexible MoE Implementation with Pipeline Parallelism
The Mixture of Experts (MoE) model becomes an important choice of large ...
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04/22/2023
SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval
Legal case retrieval, which aims to find relevant cases for a query case...
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04/12/2023
Learning Transferable Pedestrian Representation from Multimodal Information Supervision
Recent researches on unsupervised person re-identification (reID) have d...
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04/07/2023
PSLT: A Light-weight Vision Transformer with Ladder Self-Attention and Progressive Shift
Vision Transformer (ViT) has shown great potential for various visual ta...
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03/21/2023
Multi-modal Prompting for Low-Shot Temporal Action Localization
In this paper, we consider the problem of temporal action localization u...
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03/17/2023
LION: Implicit Vision Prompt Tuning
Despite recent competitive performance across a range of vision tasks, v...
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03/16/2023
Focus on Your Target: A Dual Teacher-Student Framework for Domain-adaptive Semantic Segmentation
We study unsupervised domain adaptation (UDA) for semantic segmentation....
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03/14/2023
USAGE: A Unified Seed Area Generation Paradigm for Weakly Supervised Semantic Segmentation
Seed area generation is usually the starting point of weakly supervised ...
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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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03/09/2023
R-Tuning: Regularized Prompt Tuning in Open-Set Scenarios
In realistic open-set scenarios where labels of a part of testing data a...
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03/09/2023
Rethinking Visual Prompt Learning as Masked Visual Token Modeling
Prompt learning has achieved great success in efficiently exploiting lar...
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03/07/2023
Lformer: Text-to-Image Generation with L-shape Block Parallel Decoding
Generative transformers have shown their superiority in synthesizing hig...
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02/20/2023
Constraint and Union for Partially-Supervised Temporal Sentence Grounding
Temporal sentence grounding aims to detect the event timestamps describe...
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02/05/2023
ShiftDDPMs: Exploring Conditional Diffusion Models by Shifting Diffusion Trajectories
Diffusion models have recently exhibited remarkable abilities to synthes...
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12/26/2022
Prototype-guided Cross-task Knowledge Distillation for Large-scale Models
Recently, large-scale pre-trained models have shown their advantages in ...
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12/19/2022
Distilling Vision-Language Pre-training to Collaborate with Weakly-Supervised Temporal Action Localization
Weakly-supervised temporal action localization (WTAL) learns to detect a...
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12/14/2022
FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation
The statistical heterogeneity of the non-independent and identically dis...
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12/12/2022
Feature Calibration Network for Occluded Pedestrian Detection
Pedestrian detection in the wild remains a challenging problem especiall...
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12/04/2022
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder
The success of deep learning is partly attributed to the availability of...
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11/28/2022
Learning From Good Trajectories in Offline Multi-Agent Reinforcement Learning
Offline multi-agent reinforcement learning (MARL) aims to learn effectiv...
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11/23/2022
Integrally Pre-Trained Transformer Pyramid Networks
In this paper, we present an integral pre-training framework based on ma...
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11/03/2022
Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast
In this paper, we present Pangu-Weather, a deep learning based system fo...
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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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10/14/2022
See Blue Sky: Deep Image Dehaze Using Paired and Unpaired Training Images
The issue of image haze removal has attracted wide attention in recent y...
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10/03/2022
Towards a Unified View on Visual Parameter-Efficient Transfer Learning
Since the release of various large-scale natural language processing (NL...
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10/01/2022
Learnable Distribution Calibration for Few-Shot Class-Incremental Learning
Few-shot class-incremental learning (FSCIL) faces challenges of memorizi...
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10/01/2022
Motion-inductive Self-supervised Object Discovery in Videos
In this paper, we consider the task of unsupervised object discovery in ...
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08/23/2022
Low-Light Video Enhancement with Synthetic Event Guidance
Low-light video enhancement (LLVE) is an important yet challenging task ...
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08/22/2022
Prompt-Matched Semantic Segmentation
The objective of this work is to explore how to effectively and efficien...
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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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07/31/2022
SdAE: Self-distillated Masked Autoencoder
With the development of generative-based self-supervised learning (SSL) ...
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07/31/2022
Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction
Graph convolutional network based methods that model the body-joints' re...
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07/29/2022
Fine-grained Retrieval Prompt Tuning
Fine-grained object retrieval aims to learn discriminative representatio...
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07/28/2022
