research
∙
06/08/2023
FlowFormer: A Transformer Architecture and Its Masked Cost Volume Autoencoding for Optical Flow
This paper introduces a novel transformer-based network architecture, Fl...
share
research
∙
11/17/2022
Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks
Despite the remarkable success of foundation models, their task-specific...
research
∙
11/10/2022
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
Compared to the great progress of large-scale vision transformers (ViTs)...
research
∙
08/23/2022
ZoomNAS: Searching for Whole-body Human Pose Estimation in the Wild
This paper investigates the task of 2D whole-body human pose estimation,...
research
∙
08/10/2022
Learning Degradation Representations for Image Deblurring
In various learning-based image restoration tasks, such as image denoisi...
research
∙
08/06/2022
Frozen CLIP Models are Efficient Video Learners
Video recognition has been dominated by the end-to-end learning paradigm...
research
∙
07/07/2022
Not All Models Are Equal: Predicting Model Transferability in a Self-challenging Fisher Space
This paper addresses an important problem of ranking the pre-trained dee...
research
∙
04/19/2022
Not All Tokens Are Equal: Human-centric Visual Analysis via Token Clustering Transformer
Vision transformers have achieved great successes in many computer visio...
research
∙
04/22/2021
Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation
While accurate lip synchronization has been achieved for arbitrary-subje...
research
∙
01/31/2021
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection
3D object detection is receiving increasing attention from both industry...
research
∙
10/08/2020
Deformable DETR: Deformable Transformers for End-to-End Object Detection
DETR has been recently proposed to eliminate the need for many hand-desi...
research
∙
07/25/2020
Gradient Regularized Contrastive Learning for Continual Domain Adaptation
Human beings can quickly adapt to environmental changes by leveraging le...
research
∙
07/08/2019
Part-A^2 Net: 3D Part-Aware and Aggregation Neural Network for Object Detection from Point Cloud
In this paper, we propose the part-aware and aggregation neural network ...
research
∙
04/02/2019
Context and Attribute Grounded Dense Captioning
Dense captioning aims at simultaneously localizing semantic regions and ...
research
∙
03/26/2019
GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving
We present an efficient 3D object detection framework based on a single ...
research
∙
03/11/2019
Video Generation from Single Semantic Label Map
This paper proposes the novel task of video generation conditioned on a ...
research
∙
01/23/2019
DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images
Understanding fashion images has been advanced by benchmarks with rich a...
research
∙
12/11/2018
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
In this paper, we propose PointRCNN for 3D object detection from raw poi...
research
∙
09/06/2018
Deep Learning for Generic Object Detection: A Survey
Generic object detection, aiming at locating object instances from a lar...
research
∙
05/10/2018
Avatar-Net: Multi-scale Zero-shot Style Transfer by Feature Decoration
Zero-shot artistic style transfer is an important image synthesis proble...
research
∙
10/19/2017
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks
Although Generative Adversarial Networks (GANs) have shown remarkable su...
research
∙
09/11/2014
