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05/29/2023
Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models
Public large-scale text-to-image diffusion models, such as Stable Diffus...
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03/15/2022
Distribution-Aware Single-Stage Models for Multi-Person 3D Pose Estimation
In this paper, we present a novel Distribution-Aware Single-stage (DAS) ...
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02/15/2022
SODAR: Segmenting Objects by DynamicallyAggregating Neighboring Mask Representations
Recent state-of-the-art one-stage instance segmentation model SOLO divid...
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11/24/2021
MorphMLP: A Self-Attention Free, MLP-Like Backbone for Image and Video
Self-attention has become an integral component of the recent network ar...
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10/12/2021
Improved Pillar with Fine-grained Feature for 3D Object Detection
3D object detection with LiDAR point clouds plays an important role in a...
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09/24/2021
Dense Contrastive Visual-Linguistic Pretraining
Inspired by the success of BERT, several multimodal representation learn...
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09/15/2021
PnP-DETR: Towards Efficient Visual Analysis with Transformers
Recently, DETR pioneered the solution of vision tasks with transformers,...
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05/10/2021
Continual Learning via Bit-Level Information Preserving
Continual learning tackles the setting of learning different tasks seque...
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01/28/2021
Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet
Transformers, which are popular for language modeling, have been explore...
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10/31/2020
ProxylessKD: Direct Knowledge Distillation with Inherited Classifier for Face Recognition
Knowledge Distillation (KD) refers to transferring knowledge from a larg...
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10/16/2020
Towards Accurate Human Pose Estimation in Videos of Crowded Scenes
Video-based human pose estimation in crowded scenes is a challenging pro...
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10/16/2020
Toward Accurate Person-level Action Recognition in Videos of Crowded Scenes
Detecting and recognizing human action in videos with crowded scenes is ...
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10/16/2020
A Simple Baseline for Pose Tracking in Videos of Crowded Scenes
This paper presents our solution to ACM MM challenge: Large-scale Human-...
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08/06/2020
ConvBERT: Improving BERT with Span-based Dynamic Convolution
Pre-trained language models like BERT and its variants have recently ach...
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07/05/2020
Rethinking Bottleneck Structure for Efficient Mobile Network Design
The inverted residual block is dominating architecture design for mobile...
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03/30/2020
PANDA: Prototypical Unsupervised Domain Adaptation
Previous adversarial domain alignment methods for unsupervised domain ad...
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03/12/2020
Highly Efficient Salient Object Detection with 100K Parameters
Salient object detection models often demand a considerable amount of co...
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12/10/2019
Efficient Differentiable Neural Architecture Search with Meta Kernels
The searching procedure of neural architecture search (NAS) is notorious...
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12/04/2019
AdversarialNAS: Adversarial Neural Architecture Search for GANs
Neural Architecture Search (NAS) that aims to automate the procedure of ...
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11/19/2019
Hybrid Composition with IdleBlock: More Efficient Networks for Image Recognition
We propose a new building block, IdleBlock, which naturally prunes conne...
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04/10/2019
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution
In natural images, information is conveyed at different frequencies wher...
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02/25/2019
Dynamic Feature Fusion for Semantic Edge Detection
Features from multiple scales can greatly benefit the semantic edge dete...
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01/24/2019
Deep Reasoning with Multi-scale Context for Salient Object Detection
To detect and segment salient objects accurately, existing methods are u...
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11/30/2018
Graph-Based Global Reasoning Networks
Globally modeling and reasoning over relations between regions can be be...
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10/27/2018
A^2-Nets: Double Attention Networks
Learning to capture long-range relations is fundamental to image/video r...
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07/30/2018
Multi-Fiber Networks for Video Recognition
In this paper, we aim to reduce the computational cost of spatio-tempora...
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12/08/2017
Weaving Multi-scale Context for Single Shot Detector
Aggregating context information from multiple scales has been proved to ...
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11/09/2017
Predicting Scene Parsing and Motion Dynamics in the Future
The ability of predicting the future is important for intelligent system...
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10/04/2017
Learning to Segment Human by Watching YouTube
An intuition on human segmentation is that when a human is moving in a v...
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07/06/2017
Dual Path Networks
In this work, we present a simple, highly efficient and modularized Dual...
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01/24/2017
Training Group Orthogonal Neural Networks with Privileged Information
Learning rich and diverse representations is critical for the performanc...
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12/01/2016
Video Scene Parsing with Predictive Feature Learning
In this work, we address the challenging video scene parsing problem by ...
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08/27/2016
Multi-Path Feedback Recurrent Neural Network for Scene Parsing
In this paper, we consider the scene parsing problem and propose a novel...
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09/10/2015
