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05/23/2023
Sparse4D v2: Recurrent Temporal Fusion with Sparse Model
Sparse algorithms offer great flexibility for multi-view temporal percep...
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11/21/2022
Plug and Play Active Learning for Object Detection
Annotating data for supervised learning is expensive and tedious, and we...
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11/19/2022
Sparse4D: Multi-view 3D Object Detection with Sparse Spatial-Temporal Fusion
Bird-eye-view (BEV) based methods have made great progress recently in m...
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11/26/2021
Contrastive Object-level Pre-training with Spatial Noise Curriculum Learning
The goal of contrastive learning based pre-training is to leverage large...
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03/25/2021
Real-Time and Accurate Object Detection in Compressed Video by Long Short-term Feature Aggregation
Video object detection is a fundamental problem in computer vision and h...
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07/17/2020
Boundary-preserving Mask R-CNN
Tremendous efforts have been made to improve mask localization accuracy ...
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06/02/2020
Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining
Deep convolution-based single image super-resolution (SISR) networks emb...
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03/04/2020
Multi-object Tracking via End-to-end Tracklet Searching and Ranking
Recent works in multiple object tracking use sequence model to calculate...
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12/13/2019
Learned Video Compression via Joint Spatial-Temporal Correlation Exploration
Traditional video compression technologies have been developed over deca...
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12/11/2019
RDSNet: A New Deep Architecture for Reciprocal Object Detection and Instance Segmentation
Object detection and instance segmentation are two fundamental computer ...
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12/10/2019
Pillar in Pillar: Multi-Scale and Dynamic Feature Extraction for 3D Object Detection in Point Clouds
Sparsity and varied density are two of the main obstacles for 3D detecti...
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08/02/2019
Real Time Visual Tracking using Spatial-Aware Temporal Aggregation Network
More powerful feature representations derived from deep neural networks ...
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07/11/2019
Object Detection in Video with Spatial-temporal Context Aggregation
Recent cutting-edge feature aggregation paradigms for video object detec...
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07/02/2019
Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object Segmentation
Video object segmentation (VOS) aims at pixel-level object tracking give...
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03/01/2019
Mask Scoring R-CNN
Letting a deep network be aware of the quality of its own predictions is...
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11/28/2018
CCNet: Criss-Cross Attention for Semantic Segmentation
Long-range dependencies can capture useful contextual information to ben...
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08/05/2018
Tracklet Association Tracker: An End-to-End Learning-based Association Approach for Multi-Object Tracking
Traditional multiple object tracking methods divide the task into two pa...
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10/17/2016
Parse Geometry from a Line: Monocular Depth Estimation with Partial Laser Observation
Many standard robotic platforms are equipped with at least a fixed 2D la...
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09/16/2015
DenseBox: Unifying Landmark Localization with End to End Object Detection
How can a single fully convolutional neural network (FCN) perform on obj...
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02/03/2015