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02/27/2022
Robust Self-Supervised LiDAR Odometry via Representative Structure Discovery and 3D Inherent Error Modeling
The correct ego-motion estimation basically relies on the understanding ...
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12/09/2021
AdaStereo: An Efficient Domain-Adaptive Stereo Matching Approach
Recently, records on stereo matching benchmarks are constantly broken by...
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08/23/2021
Towards Balanced Learning for Instance Recognition
Instance recognition is rapidly advanced along with the developments of ...
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08/16/2021
PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation
Cross-domain object detection and semantic segmentation have witnessed i...
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08/08/2021
Context-Aware Mixup for Domain Adaptive Semantic Segmentation
Unsupervised domain adaptation (UDA) aims to adapt a model of the labele...
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08/08/2021
Self-Adversarial Disentangling for Specific Domain Adaptation
Domain adaptation aims to bridge the domain shifts between the source an...
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07/28/2021
Improving Video Instance Segmentation via Temporal Pyramid Routing
Video Instance Segmentation (VIS) is a new and inherently multi-task pro...
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05/25/2021
BoundarySqueeze: Image Segmentation as Boundary Squeezing
We propose a novel method for fine-grained high-quality image segmentati...
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03/29/2021
Enhanced Boundary Learning for Glass-like Object Segmentation
Glass-like objects such as windows, bottles, and mirrors exist widely in...
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03/11/2021
PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation
Aerial Image Segmentation is a particular semantic segmentation problem ...
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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...
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11/20/2020
FLAVA: Find, Localize, Adjust and Verify to Annotate LiDAR-Based Point Clouds
Recent years have witnessed the rapid progress of perception algorithms ...
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10/19/2020
SelfVoxeLO: Self-supervised LiDAR Odometry with Voxel-based Deep Neural Networks
Recent learning-based LiDAR odometry methods have demonstrated their com...
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09/07/2020
Channel-wise Alignment for Adaptive Object Detection
Generic object detection has been immensely promoted by the development ...
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09/02/2020
Understanding the wiring evolution in differentiable neural architecture search
Controversy exists on whether differentiable neural architecture search ...
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07/23/2020
TSIT: A Simple and Versatile Framework for Image-to-Image Translation
We introduce a simple and versatile framework for image-to-image transla...
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07/20/2020
Improving Semantic Segmentation via Decoupled Body and Edge Supervision
Existing semantic segmentation approaches either aim to improve the obje...
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07/20/2020
Search What You Want: Barrier Panelty NAS for Mixed Precision Quantization
Emergent hardwares can support mixed precision CNN models inference that...
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04/26/2020
TPNet: Trajectory Proposal Network for Motion Prediction
Making accurate motion prediction of the surrounding traffic agents such...
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04/19/2020
Uncertainty-Aware Consistency Regularization for Cross-Domain Semantic Segmentation
Unsupervised domain adaptation (UDA) aims to adapt existing models of th...
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04/18/2020
Semi-Supervised Semantic Segmentation via Dynamic Self-Training and Class-Balanced Curriculum
In this work, we propose a novel and concise approach for semi-supervise...
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04/09/2020
AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching
In this paper, we attempt to solve the domain adaptation problem for dee...
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04/07/2020
Temporal Pyramid Network for Action Recognition
Visual tempo characterizes the dynamics and the temporal scale of an act...
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04/06/2020
SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds
Multi-class 3D object detection aims to localize and classify objects of...
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02/21/2020
DSNAS: Direct Neural Architecture Search without Parameter Retraining
If NAS methods are solutions, what is the problem? Most existing NAS met...
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12/31/2019
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
We present a novel and high-performance 3D object detection framework, n...
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12/10/2019
Learning Depth-Guided Convolutions for Monocular 3D Object Detection
3D object detection from a single image without LiDAR is a challenging t...
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12/09/2019
Side-Aware Boundary Localization for More Precise Object Detection
Current object detection frameworks mainly rely on bounding box regressi...
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11/30/2019
Learning Driving Decisions by Imitating Drivers' Control Behaviors
Classical autonomous driving systems are modularized as a pipeline of pe...
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11/28/2019
Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow
A major challenge for video semantic segmentation is the lack of labeled...
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11/19/2019
Dense Fusion Classmate Network for Land Cover Classification
Recently, FCNs based methods have made great progress in semantic segmen...
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10/15/2019
Depth Completion from Sparse LiDAR Data with Depth-Normal Constraints
Depth completion aims to recover dense depth maps from sparse depth meas...
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09/15/2019
Graph-guided Architecture Search for Real-time Semantic Segmentation
Designing a lightweight semantic segmentation network often requires res...
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09/09/2019
Robust Multi-Modality Multi-Object Tracking
Multi-sensor perception is crucial to ensure the reliability and accurac...
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08/05/2019
GDRQ: Group-based Distribution Reshaping for Quantization
Low-bit quantization is challenging to maintain high performance with li...
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06/17/2019
MMDetection: Open MMLab Detection Toolbox and Benchmark
We present MMDetection, an object detection toolbox that contains a rich...
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05/24/2019
OVSNet : Towards One-Pass Real-Time Video Object Segmentation
Video object segmentation aims at accurately segmenting the target objec...
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05/05/2019
Towards Instance-level Image-to-Image Translation
Unpaired Image-to-image Translation is a new rising and challenging visi...
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04/22/2019
Switchable Whitening for Deep Representation Learning
Normalization methods are essential components in convolutional neural n...
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04/04/2019
Libra R-CNN: Towards Balanced Learning for Object Detection
Compared with model architectures, the training process, which is also c...
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02/16/2019
R^2-CNN: Fast Tiny Object Detection in Large-scale Remote Sensing Images
Recently, convolutional neural network has brought impressive improvemen...
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01/22/2019
Hybrid Task Cascade for Instance Segmentation
Cascade is a classic yet powerful architecture that has boosted performa...
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01/11/2019
FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction
The basic principles in designing convolutional neural network (CNN) str...
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10/20/2018
Sequential Context Encoding for Duplicate Removal
Duplicate removal is a critical step to accomplish a reasonable amount o...
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09/04/2018
Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation
Due to the expensive and time-consuming annotations (e.g., segmentation)...
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08/01/2018
Generative Adversarial Frontal View to Bird View Synthesis
Environment perception is an important task with great practical value a...
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07/31/2018
SegStereo: Exploiting Semantic Information for Disparity Estimation
Disparity estimation for binocular stereo images finds a wide range of a...
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07/30/2018
Pose Guided Human Video Generation
Due to the emergence of Generative Adversarial Networks, video synthesis...
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07/25/2018
Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net
Convolutional neural networks (CNNs) have achieved great successes in ma...
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06/29/2018