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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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05/10/2023
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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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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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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10/01/2022
Learnable Distribution Calibration for Few-Shot Class-Incremental Learning
Few-shot class-incremental learning (FSCIL) faces challenges of memorizi...
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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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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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07/28/2022
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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07/04/2022
A Survey on Label-efficient Deep Segmentation: Bridging the Gap between Weak Supervision and Dense Prediction
The rapid development of deep learning has made a great progress in segm...
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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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05/30/2022
HiViT: Hierarchical Vision Transformer Meets Masked Image Modeling
Recently, masked image modeling (MIM) has offered a new methodology of s...
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04/18/2022
CenterNet++ for Object Detection
There are two mainstreams for object detection: top-down and bottom-up. ...
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04/06/2022
Domain-Agnostic Prior for Transfer Semantic Segmentation
Unsupervised domain adaptation (UDA) is an important topic in the comput...
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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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03/11/2022
TAPE: Task-Agnostic Prior Embedding for Image Restoration
Learning an generalized prior for natural image restoration is an import...
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03/10/2022
MVP: Multimodality-guided Visual Pre-training
Recently, masked image modeling (MIM) has become a promising direction f...
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12/05/2021
Exploring Complicated Search Spaces with Interleaving-Free Sampling
The existing neural architecture search algorithms are mostly working on...
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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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10/19/2021
CIPS-3D: A 3D-Aware Generator of GANs Based on Conditionally-Independent Pixel Synthesis
The style-based GAN (StyleGAN) architecture achieved state-of-the-art re...
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07/16/2021
Rectifying the Shortcut Learning of Background: Shared Object Concentration for Few-Shot Image Recognition
Few-Shot image classification aims to utilize pretrained knowledge learn...
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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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06/01/2021
Exploring the Diversity and Invariance in Yourself for Visual Pre-Training Task
Recently, self-supervised learning methods have achieved remarkable succ...
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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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05/09/2021
Conformer: Local Features Coupling Global Representations for Visual Recognition
Within Convolutional Neural Network (CNN), the convolution operations ar...
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04/26/2021
Visformer: The Vision-friendly Transformer
The past year has witnessed the rapid development of applying the Transf...
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04/11/2021
Location-Sensitive Visual Recognition with Cross-IOU Loss
Object detection, instance segmentation, and pose estimation are popular...
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03/30/2021
Spatiotemporal Transformer for Video-based Person Re-identification
Recently, the Transformer module has been transplanted from natural lang...
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03/26/2021
MagDR: Mask-guided Detection and Reconstruction for Defending Deepfakes
Deepfakes raised serious concerns on the authenticity of visual contents...
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12/08/2020
UnrealPerson: An Adaptive Pipeline towards Costless Person Re-identification
The main difficulty of person re-identification (ReID) lies in collectin...
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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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11/28/2020
Batch Normalization with Enhanced Linear Transformation
Batch normalization (BN) is a fundamental unit in modern deep networks, ...
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11/26/2020
Omni-GAN: On the Secrets of cGANs and Beyond
It has been an important problem to design a proper discriminator for co...
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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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11/18/2020
Privileged Knowledge Distillation for Online Action Detection
Online Action Detection (OAD) in videos is proposed as a per-frame label...
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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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09/14/2020
One-bit Supervision for Image Classification
This paper presents one-bit supervision, a novel setting of learning fro...
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08/31/2020
Reinforced Axial Refinement Network for Monocular 3D Object Detection
Monocular 3D object detection aims to extract the 3D position and proper...
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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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07/27/2020
Corner Proposal Network for Anchor-free, Two-stage Object Detection
The goal of object detection is to determine the class and location of o...
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07/13/2020
Universal-to-Specific Framework for Complex Action Recognition
Video-based action recognition has recently attracted much attention in ...
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07/07/2020
GOLD-NAS: Gradual, One-Level, Differentiable
There has been a large literature of neural architecture search, but mos...
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07/07/2020
Discretization-Aware Architecture Search
The search cost of neural architecture search (NAS) has been largely red...
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06/25/2020