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03/25/2023
VL-SAT: Visual-Linguistic Semantics Assisted Training for 3D Semantic Scene Graph Prediction in Point Cloud
The task of 3D semantic scene graph (3DSSG) prediction in the point clou...
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12/20/2021
Mask2Former for Video Instance Segmentation
We find Mask2Former also achieves state-of-the-art performance on video ...
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12/02/2021
Masked-attention Mask Transformer for Universal Image Segmentation
Image segmentation is about grouping pixels with different semantics, e....
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07/13/2021
Per-Pixel Classification is Not All You Need for Semantic Segmentation
Modern approaches typically formulate semantic segmentation as a per-pix...
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04/13/2021
Pointly-Supervised Instance Segmentation
We propose point-based instance-level annotation, a new form of weak sup...
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04/13/2021
Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds
3D object detection in point clouds is a challenging vision task that be...
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03/30/2021
Boundary IoU: Improving Object-Centric Image Segmentation Evaluation
We present Boundary IoU (Intersection-over-Union), a new segmentation ev...
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11/30/2020
ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition
Scale variance among different sizes of body parts and objects is a chal...
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05/20/2020
Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation
Supervised learning in large discriminative models is a mainstay for mod...
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05/20/2020
Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation
Supervised learning in large discriminative models is a mainstay for mod...
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11/22/2019
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation
In this work, we introduce Panoptic-DeepLab, a simple, strong, and fast ...
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10/10/2019
Panoptic-DeepLab
We present Panoptic-DeepLab, a bottom-up and single-shot approach for pa...
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09/20/2019
SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems
Developing object detection and tracking on resource-constrained embedde...
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08/27/2019
Bottom-up Higher-Resolution Networks for Multi-Person Pose Estimation
In this paper, we are interested in bottom-up multi-person human pose es...
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08/26/2019
SPGNet: Semantic Prediction Guidance for Scene Parsing
Multi-scale context module and single-stage encoder-decoder structure ar...
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05/07/2019
High Frequency Residual Learning for Multi-Scale Image Classification
We present a novel high frequency residual learning framework, which lea...
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11/23/2018
Revisiting Pre-training: An Efficient Training Method for Image Classification
The training method of repetitively feeding all samples into a pre-defin...
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10/05/2018
Decoupled Classification Refinement: Hard False Positive Suppression for Object Detection
In this paper, we analyze failure cases of state-of-the-art detectors an...
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09/17/2018
Revisit Multinomial Logistic Regression in Deep Learning: Data Dependent Model Initialization for Image Recognition
We study in this paper how to initialize the parameters of multinomial l...
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07/13/2018
TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection
This work provides a simple approach to discover tight object bounding b...
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03/19/2018
Revisiting RCNN: On Awakening the Classification Power of Faster RCNN
Recent region-based object detectors are usually built with separate cla...
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12/20/2017
Enhance Visual Recognition under Adverse Conditions via Deep Networks
Visual recognition under adverse conditions is a very important and chal...
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09/10/2017
