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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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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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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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04/24/2023
Segment Anything in 3D with NeRFs
The Segment Anything Model (SAM) has demonstrated its effectiveness in s...
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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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03/19/2023
SECAD-Net: Self-Supervised CAD Reconstruction by Learning Sketch-Extrude Operations
Reverse engineering CAD models from raw geometry is a classic but strenu...
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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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02/27/2023
Self Correspondence Distillation for End-to-End Weakly-Supervised Semantic Segmentation
Efficiently training accurate deep models for weakly supervised semantic...
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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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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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11/15/2022
Security Closure of IC Layouts Against Hardware Trojans
Due to cost benefits, supply chains of integrated circuits (ICs) are lar...
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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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07/31/2022
SdAE: Self-distillated Masked Autoencoder
With the development of generative-based self-supervised learning (SSL) ...
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07/28/2022
Visual Recognition by Request
In this paper, we present a novel protocol of annotation and evaluation ...
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07/23/2022
Active Pointly-Supervised Instance Segmentation
The requirement of expensive annotations is a major burden for training ...
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06/27/2022
SARNet: Semantic Augmented Registration of Large-Scale Urban Point Clouds
Registering urban point clouds is a quite challenging task due to the la...
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06/10/2022
Masked Autoencoders are Robust Data Augmentors
Deep neural networks are capable of learning powerful representations to...
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05/30/2022
Fast Dynamic Radiance Fields with Time-Aware Neural Voxels
Neural radiance fields (NeRF) have shown great success in modeling 3D sc...
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05/21/2022
Gradient Concealment: Free Lunch for Defending Adversarial Attacks
Recent studies show that the deep neural networks (DNNs) have achieved g...
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03/27/2022
Beyond Masking: Demystifying Token-Based Pre-Training for Vision Transformers
The past year has witnessed a rapid development of masked image modeling...
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03/17/2022
Deep Point Cloud Simplification for High-quality Surface Reconstruction
The growing size of point clouds enlarges consumptions of storage, trans...
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03/14/2022
MTLDesc: Looking Wider to Describe Better
Limited by the locality of convolutional neural networks, most existing ...
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03/11/2022
TAPE: Task-Agnostic Prior Embedding for Image Restoration
Learning an generalized prior for natural image restoration is an import...
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01/29/2022
The KFIoU Loss for Rotated Object Detection
Differing from the well-developed horizontal object detection area where...
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11/30/2021
NeuSample: Neural Sample Field for Efficient View Synthesis
Neural radiance fields (NeRF) have shown great potentials in representin...
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11/25/2021
Semantic-Aware Generation for Self-Supervised Visual Representation Learning
In this paper, we propose a self-supervised visual representation learni...
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11/16/2021
Self-supervised High-fidelity and Re-renderable 3D Facial Reconstruction from a Single Image
Reconstructing high-fidelity 3D facial texture from a single image is a ...
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07/04/2021
Bag of Instances Aggregation Boosts Self-supervised Learning
Recent advances in self-supervised learning have experienced remarkable ...
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06/08/2021
Multi-dataset Pretraining: A Unified Model for Semantic Segmentation
Collecting annotated data for semantic segmentation is time-consuming an...
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06/04/2021
Mixture of Virtual-Kernel Experts for Multi-Objective User Profile Modeling
In many industrial applications like online advertising and recommendati...
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05/31/2021
MSG-Transformer: Exchanging Local Spatial Information by Manipulating Messenger Tokens
Transformers have offered a new methodology of designing neural networks...
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05/28/2021
What Is Considered Complete for Visual Recognition?
This is an opinion paper. We hope to deliver a key message that current ...
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05/16/2021
Semi-supervised Contrastive Learning with Similarity Co-calibration
Semi-supervised learning acts as an effective way to leverage massive un...
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02/23/2021
Deep Deformation Detail Synthesis for Thin Shell Models
In physics-based cloth animation, rich folds and detailed wrinkles are a...
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01/28/2021
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss
Boundary discontinuity and its inconsistency to the final detection metr...
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12/04/2020
Hierarchical Semantic Aggregation for Contrastive Representation Learning
Self-supervised learning based on instance discrimination has shown rema...
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11/19/2020
Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations
Contrastive learning has achieved great success in self-supervised visua...
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11/19/2020
Scene text removal via cascaded text stroke detection and erasing
Recent learning-based approaches show promising performance improvement ...
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11/17/2020
Can Semantic Labels Assist Self-Supervised Visual Representation Learning?
Recently, contrastive learning has largely advanced the progress of unsu...
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11/05/2020
Center-wise Local Image Mixture For Contrastive Representation Learning
Recent advances in unsupervised representation learning have experienced...
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08/04/2020
Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap
Neural architecture search (NAS) has attracted increasing attentions in ...
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07/29/2020
Accurate 2D soft segmentation of medical image via SoftGAN network
Accurate 2D lung nodules segmentation from medical Computed Tomography (...
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06/25/2020
Searching towards Class-Aware Generators for Conditional Generative Adversarial Networks
Conditional Generative Adversarial Networks (cGAN) were designed to gene...
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06/23/2020
Distilling Object Detectors with Task Adaptive Regularization
Current state-of-the-art object detectors are at the expense of high com...
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06/10/2020
A survey on deep hashing for image retrieval
Hashing has been widely used in approximate nearest search for large-sca...
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05/12/2020
Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients
Adversarial examples have been well known as a serious threat to deep ne...
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04/09/2020
Multi-feature super-resolution network for cloth wrinkle synthesis
Existing physical cloth simulators suffer from expensive computation and...
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04/06/2020