Bowen Cheng | DeepAI

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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...

0 Ziqin Wang, et al. ∙

∙ 12/20/2021

Mask2Former for Video Instance Segmentation

We find Mask2Former also achieves state-of-the-art performance on video ...

11 Bowen Cheng, et al. ∙

∙ 12/02/2021

Masked-attention Mask Transformer for Universal Image Segmentation

Image segmentation is about grouping pixels with different semantics, e....

6 Bowen Cheng, et al. ∙

∙ 07/13/2021

Per-Pixel Classification is Not All You Need for Semantic Segmentation

Modern approaches typically formulate semantic segmentation as a per-pix...

6 Bowen Cheng, et al. ∙

∙ 04/13/2021

Pointly-Supervised Instance Segmentation

We propose point-based instance-level annotation, a new form of weak sup...

5 Bowen Cheng, et al. ∙

∙ 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...

8 Bowen Cheng, et al. ∙

∙ 03/30/2021

Boundary IoU: Improving Object-Centric Image Segmentation Evaluation

We present Boundary IoU (Intersection-over-Union), a new segmentation ev...

10 Bowen Cheng, et al. ∙

∙ 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...

0 Hsin-Pai Cheng, et al. ∙

∙ 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...

14 Liang-Chieh Chen, et al. ∙

∙ 05/20/2020

Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation

Supervised learning in large discriminative models is a mainstay for mod...

7 Liang-Chieh Chen, et al. ∙

∙ 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 ...

10 Bowen Cheng, et al. ∙

∙ 10/10/2019

Panoptic-DeepLab

We present Panoptic-DeepLab, a bottom-up and single-shot approach for pa...

7 Bowen Cheng, et al. ∙

∙ 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...

41 Xiaofan Zhang, et al. ∙

∙ 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...

9 Bowen Cheng, et al. ∙

∙ 08/26/2019

SPGNet: Semantic Prediction Guidance for Scene Parsing

Multi-scale context module and single-stage encoder-decoder structure ar...

16 Bowen Cheng, et al. ∙

∙ 05/07/2019

High Frequency Residual Learning for Multi-Scale Image Classification

We present a novel high frequency residual learning framework, which lea...

10 Bowen Cheng, et al. ∙

∙ 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...

10 Bowen Cheng, et al. ∙

∙ 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...

4 Bowen Cheng, et al. ∙

∙ 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...

0 Bowen Cheng, et al. ∙

∙ 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...

10 Yunchao Wei, et al. ∙

∙ 03/19/2018

Revisiting RCNN: On Awakening the Classification Power of Faster RCNN

Recent region-based object detectors are usually built with separate cla...

0 Bowen Cheng, et al. ∙

∙ 12/20/2017

Enhance Visual Recognition under Adverse Conditions via Deep Networks

Visual recognition under adverse conditions is a very important and chal...

0 Ding Liu, et al. ∙

∙ 09/10/2017

Robust Emotion Recognition from Low Quality and Low Bit Rate Video: A Deep Learning Approach

Emotion recognition from facial expressions is tremendously useful, espe...

1 Bowen Cheng, et al. ∙

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