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  4. Cited By
BlitzNet: A Real-Time Deep Network for Scene Understanding

BlitzNet: A Real-Time Deep Network for Scene Understanding

IEEE International Conference on Computer Vision (ICCV), 2017
9 August 2017
Nikita Dvornik
K. Shmelkov
Julien Mairal
Cordelia Schmid
    SSeg
ArXiv (abs)PDFHTML

Papers citing "BlitzNet: A Real-Time Deep Network for Scene Understanding"

50 / 67 papers shown
SR-SLAM: Scene-reliability Based RGB-D SLAM in Diverse Environments
SR-SLAM: Scene-reliability Based RGB-D SLAM in Diverse Environments
Haolan Zhang
Chenghao Li
Thanh Nguyen Canh
Lijun Wang
Nak Young Chong
100
0
0
01 Sep 2025
Monocular visual simultaneous localization and mapping: (r)evolution from geometry to deep learning-based pipelinesIEEE Transactions on Artificial Intelligence (IEEE TAI), 2024
Olaya Álvarez-Tunón
Yury Brodskiy
Erdal Kayacan
536
8
0
04 Mar 2025
DMTG: One-Shot Differentiable Multi-Task Grouping
DMTG: One-Shot Differentiable Multi-Task Grouping
Yuan Gao
Shuguo Jiang
Moran Li
Jin-Gang Yu
Gui-Song Xia
290
3
0
06 Jul 2024
Autonomous Robotic Drilling System for Mice Cranial Window Creation
Autonomous Robotic Drilling System for Mice Cranial Window CreationIEEE Transactions on Automation Science and Engineering (T-ASE), 2024
Enduo Zhao
M. M. Marinho
K. Harada
269
8
0
20 Jun 2024
Robust Analysis of Multi-Task Learning Efficiency: New Benchmarks on
  Light-Weighed Backbones and Effective Measurement of Multi-Task Learning
  Challenges by Feature Disentanglement
Robust Analysis of Multi-Task Learning Efficiency: New Benchmarks on Light-Weighed Backbones and Effective Measurement of Multi-Task Learning Challenges by Feature Disentanglement
Dayou Mao
Yuhao Chen
Yifan Wu
Maximilian Gilles
Alexander Wong
AAML
206
4
0
05 Feb 2024
Multi-Level Aggregation and Recursive Alignment Architecture for
  Efficient Parallel Inference Segmentation Network
Multi-Level Aggregation and Recursive Alignment Architecture for Efficient Parallel Inference Segmentation Network
Yanhua Zhang
Ke Zhang
Jingyu Wang
Yulin Wu
Wuwei Wang
328
0
0
03 Feb 2024
YOLO-Former: YOLO Shakes Hand With ViT
YOLO-Former: YOLO Shakes Hand With ViT
J. Khoramdel
A. Moori
Y. Borhani
A. Ghanbarzadeh
Esmaeil Najafi
ViT
124
5
0
11 Jan 2024
Label Budget Allocation in Multi-Task Learning
Label Budget Allocation in Multi-Task Learning
Ximeng Sun
Kihyuk Sohn
Kate Saenko
Clayton Mellina
Xiao Bian
324
0
0
24 Aug 2023
Scalable Video Object Segmentation with Simplified Framework
Scalable Video Object Segmentation with Simplified FrameworkIEEE International Conference on Computer Vision (ICCV), 2023
Qiangqiang Wu
Tianyu Yang
WU Wei
Antoni B. Chan
VOS
153
38
0
19 Aug 2023
GraMMaR: Ground-aware Motion Model for 3D Human Motion Reconstruction
GraMMaR: Ground-aware Motion Model for 3D Human Motion ReconstructionACM Multimedia (ACM MM), 2023
Sihan Ma
Qiong Cao
Hongwei Yi
Jing Zhang
Dacheng Tao
3DH
250
4
0
29 Jun 2023
Multi-Task Consistency for Active Learning
Multi-Task Consistency for Active Learning
A. Hekimoglu
Philipp Friedrich
Walter Zimmer
Michael Schmidt
Alvaro Marcos-Ramiro
Alois C. Knoll
VLM
200
12
0
21 Jun 2023
Attacking All Tasks at Once Using Adversarial Examples in Multi-Task Learning
Attacking All Tasks at Once Using Adversarial Examples in Multi-Task Learning
Lijun Zhang
Xiao Liu
Kaleel Mahmood
Caiwen Ding
Hui Guan
AAML
337
1
0
20 May 2023
An advanced YOLOv3 method for small object detection
An advanced YOLOv3 method for small object detectionJournal of Intelligent & Fuzzy Systems (JIFS), 2022
Bao-Yu Liu
Fengjie He
Shiqiang Du
Jiacheng Li
Wenjie Liu
3DPCObjD
260
13
0
06 Dec 2022
FreDSNet: Joint Monocular Depth and Semantic Segmentation with Fast
  Fourier Convolutions
FreDSNet: Joint Monocular Depth and Semantic Segmentation with Fast Fourier ConvolutionsIEEE International Conference on Robotics and Automation (ICRA), 2022
Bruno Berenguel-Baeta
J. Bermudez-Cameo
Jose J. Guerrero
MDE
330
17
0
04 Oct 2022
Backbones-Review: Feature Extraction Networks for Deep Learning and Deep
  Reinforcement Learning Approaches
Backbones-Review: Feature Extraction Networks for Deep Learning and Deep Reinforcement Learning ApproachesComputer Science Review (CSR), 2022
O. Elharrouss
Y. Akbari
Noor Almaadeed
S. Al-Maadeed
205
119
0
16 Jun 2022
DiSparse: Disentangled Sparsification for Multitask Model Compression
DiSparse: Disentangled Sparsification for Multitask Model CompressionComputer Vision and Pattern Recognition (CVPR), 2022
Xing Sun
Ali Hassani
Zinan Lin
Gao Huang
Humphrey Shi
196
25
0
09 Jun 2022
A Review of Mobile Mapping Systems: From Sensors to Applications
A Review of Mobile Mapping Systems: From Sensors to ApplicationsItalian National Conference on Sensors (INS), 2022
Mostafa Elhashash
Hessah Albanwan
R. Qin
155
88
0
31 May 2022
Multitask Network for Joint Object Detection, Semantic Segmentation and
  Human Pose Estimation in Vehicle Occupancy Monitoring
Multitask Network for Joint Object Detection, Semantic Segmentation and Human Pose Estimation in Vehicle Occupancy Monitoring
Nikolas Ebert
Patrick Mangat
Oliver Wasenmüller
148
9
0
03 May 2022
FasterVideo: Efficient Online Joint Object Detection And Tracking
FasterVideo: Efficient Online Joint Object Detection And TrackingInternational Conference on Image Analysis and Processing (ICIAP), 2022
Issa Mouawad
Francesca Odone
VOT
214
4
0
15 Apr 2022
HybridNets: End-to-End Perception Network
HybridNets: End-to-End Perception Network
Dat Vu
Bao Ngo
H. Phan
180
82
0
17 Mar 2022
Panoptic SwiftNet: Pyramidal Fusion for Real-time Panoptic Segmentation
Panoptic SwiftNet: Pyramidal Fusion for Real-time Panoptic SegmentationRemote Sensing (RS), 2022
Josip Saric
Marin Orsic
Sinisa Segvic
260
10
0
15 Mar 2022
CFP-SLAM: A Real-time Visual SLAM Based on Coarse-to-Fine Probability in
  Dynamic Environments
CFP-SLAM: A Real-time Visual SLAM Based on Coarse-to-Fine Probability in Dynamic EnvironmentsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Xinggang Hu
Yunzhou Zhang
Zhe Cao
Rong Ma
Yanmin Wu
Zhiqiang Deng
Wenkai Sun
211
60
0
04 Feb 2022
ST-MTL: Spatio-Temporal Multitask Learning Model to Predict Scanpath
  While Tracking Instruments in Robotic Surgery
ST-MTL: Spatio-Temporal Multitask Learning Model to Predict Scanpath While Tracking Instruments in Robotic Surgery
Mobarakol Islam
V. Vibashan
C. Lim
Hongliang Ren
189
43
0
10 Dec 2021
AutoMTL: A Programming Framework for Automating Efficient Multi-Task
  Learning
AutoMTL: A Programming Framework for Automating Efficient Multi-Task LearningNeural Information Processing Systems (NeurIPS), 2021
Lijun Zhang
Xiao Liu
Hui Guan
410
27
0
25 Oct 2021
Deep Joint Source-Channel Coding for Multi-Task Network
Deep Joint Source-Channel Coding for Multi-Task Network
Mengyang Wang
Zhicong Zhang
Jiahui Li
Mengyao Ma
Xiaopeng Fan
229
33
0
13 Sep 2021
Disentangling Transfer and Interference in Multi-Domain Learning
Disentangling Transfer and Interference in Multi-Domain Learning
Yipeng Zhang
Tyler L. Hayes
Christopher Kanan
332
3
0
02 Jul 2021
Instance-Level Task Parameters: A Robust Multi-task Weighting Framework
Instance-Level Task Parameters: A Robust Multi-task Weighting Framework
Pavan Kumar Anasosalu Vasu
Shreyas Saxena
Oncel Tuzel
136
7
0
11 Jun 2021
InverseForm: A Loss Function for Structured Boundary-Aware Segmentation
InverseForm: A Loss Function for Structured Boundary-Aware SegmentationComputer Vision and Pattern Recognition (CVPR), 2021
Shubhankar Borse
Ying Wang
Yizhe Zhang
Fatih Porikli
209
136
0
06 Apr 2021
Exposing Semantic Segmentation Failures via Maximum Discrepancy
  Competition
Exposing Semantic Segmentation Failures via Maximum Discrepancy CompetitionInternational Journal of Computer Vision (IJCV), 2021
Jiebin Yan
Yu Zhong
Yuming Fang
Zinan Lin
Kede Ma
UQCV
231
18
0
27 Feb 2021
Learning Twofold Heterogeneous Multi-Task by Sharing Similar Convolution
  Kernel Pairs
Learning Twofold Heterogeneous Multi-Task by Sharing Similar Convolution Kernel PairsKnowledge-Based Systems (KBS), 2021
Quan Feng
Songcan Chen
172
6
0
29 Jan 2021
Multi-Task Learning for Dense Prediction Tasks: A Survey
Multi-Task Learning for Dense Prediction Tasks: A Survey
Simon Vandenhende
Stamatios Georgoulis
Wouter Van Gansbeke
Marc Proesmans
Dengxin Dai
Luc Van Gool
CVBM
321
84
0
28 Apr 2020
Context-Aware Multi-Task Learning for Traffic Scene Recognition in
  Autonomous Vehicles
Context-Aware Multi-Task Learning for Traffic Scene Recognition in Autonomous Vehicles
Younkwan Lee
Ji-Kwang Jeon
Jongmin Yu
M. Jeon
147
9
0
03 Apr 2020
Selecting Relevant Features from a Multi-domain Representation for
  Few-shot Classification
Selecting Relevant Features from a Multi-domain Representation for Few-shot ClassificationEuropean Conference on Computer Vision (ECCV), 2020
Nikita Dvornik
Cordelia Schmid
Julien Mairal
VLM
380
24
0
20 Mar 2020
Multi-task Collaborative Network for Joint Referring Expression
  Comprehension and Segmentation
Multi-task Collaborative Network for Joint Referring Expression Comprehension and SegmentationComputer Vision and Pattern Recognition (CVPR), 2020
Gen Luo
Weihao Ye
Xiaoshuai Sun
Liujuan Cao
Chenglin Wu
Cheng Deng
Rongrong Ji
ObjD
469
348
0
19 Mar 2020
AP-MTL: Attention Pruned Multi-task Learning Model for Real-time
  Instrument Detection and Segmentation in Robot-assisted Surgery
AP-MTL: Attention Pruned Multi-task Learning Model for Real-time Instrument Detection and Segmentation in Robot-assisted SurgeryIEEE International Conference on Robotics and Automation (ICRA), 2020
Mobarakol Islam
V. Vibashan
Hongliang Ren
158
32
0
10 Mar 2020
MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learning
MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task LearningEuropean Conference on Computer Vision (ECCV), 2020
Simon Vandenhende
Stamatios Georgoulis
Luc Van Gool
478
268
0
19 Jan 2020
MDFN: Multi-Scale Deep Feature Learning Network for Object Detection
MDFN: Multi-Scale Deep Feature Learning Network for Object DetectionPattern Recognition (Pattern Recognit.), 2019
Wenchi Ma
Yuanwei Wu
Feng Cen
Guanghui Wang
ObjD
114
149
0
10 Dec 2019
YOLACT++: Better Real-time Instance Segmentation
YOLACT++: Better Real-time Instance SegmentationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Daniel Bolya
Chong Zhou
Fanyi Xiao
Yong Jae Lee
VLMSSegISeg
315
474
0
03 Dec 2019
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning
AdaShare: Learning What To Share For Efficient Deep Multi-Task LearningNeural Information Processing Systems (NeurIPS), 2019
Ximeng Sun
Yikang Shen
Rogerio Feris
Kate Saenko
285
306
0
27 Nov 2019
What's in my Room? Object Recognition on Indoor Panoramic Images
What's in my Room? Object Recognition on Indoor Panoramic ImagesIEEE International Conference on Robotics and Automation (ICRA), 2019
Julia Guerrero-Viu
Clara Fernandez-Labrador
C. Demonceaux
Jose J. Guerrero
3DV3DPC
218
28
0
14 Oct 2019
3D Scene Graph: A Structure for Unified Semantics, 3D Space, and Camera
3D Scene Graph: A Structure for Unified Semantics, 3D Space, and CameraIEEE International Conference on Computer Vision (ICCV), 2019
Iro Armeni
Zhi-Yang He
JunYoung Gwak
Amir Zamir
Martin Fischer
Jitendra Malik
Silvio Savarese
3DV3DPC
297
420
0
06 Oct 2019
Learning Where to Look While Tracking Instruments in Robot-assisted
  Surgery
Learning Where to Look While Tracking Instruments in Robot-assisted SurgeryInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019
Mobarakol Islam
Yueyuan Li
Hongliang Ren
214
47
0
29 Jun 2019
IMP: Instance Mask Projection for High Accuracy Semantic Segmentation of
  Things
IMP: Instance Mask Projection for High Accuracy Semantic Segmentation of ThingsIEEE International Conference on Computer Vision (ICCV), 2019
Cheng-Yang Fu
Tamara L. Berg
Alexander C. Berg
ISegVLM
193
18
0
15 Jun 2019
Assisted Excitation of Activations: A Learning Technique to Improve
  Object Detectors
Assisted Excitation of Activations: A Learning Technique to Improve Object DetectorsComputer Vision and Pattern Recognition (CVPR), 2019
Mohammad Mahdi Derakhshani
Saeed Masoudnia
Amir Hossein Shaker
Omid Mersa
M. Sadeghi
Mohammad Rastegari
Babak N. Araabi
ObjD
116
24
0
12 Jun 2019
Data Augmentation for Object Detection via Progressive and Selective
  Instance-Switching
Data Augmentation for Object Detection via Progressive and Selective Instance-Switching
Hao Wang
Qilong Wang
Fan Yang
Yongzi Yu
W. Zuo
243
62
0
02 Jun 2019
Which Tasks Should Be Learned Together in Multi-task Learning?
Which Tasks Should Be Learned Together in Multi-task Learning?International Conference on Machine Learning (ICML), 2019
Trevor Scott Standley
Amir Zamir
Dawn Chen
Leonidas Guibas
Jitendra Malik
Silvio Savarese
640
604
0
18 May 2019
Representation Similarity Analysis for Efficient Task taxonomy &
  Transfer Learning
Representation Similarity Analysis for Efficient Task taxonomy & Transfer Learning
Kshitij Dwivedi
Gemma Roig
178
164
0
26 Apr 2019
Attentive Single-Tasking of Multiple Tasks
Attentive Single-Tasking of Multiple Tasks
Kevis-Kokitsi Maninis
Ilija Radosavovic
Iasonas Kokkinos
316
277
0
18 Apr 2019
Graphonomy: Universal Human Parsing via Graph Transfer Learning
Graphonomy: Universal Human Parsing via Graph Transfer Learning
Ke Gong
Yiming Gao
Xiaodan Liang
Xiaohui Shen
Ming Wang
Liang Lin
312
190
0
09 Apr 2019
YOLACT: Real-time Instance Segmentation
YOLACT: Real-time Instance Segmentation
Daniel Bolya
Chong Zhou
Fanyi Xiao
Yong Jae Lee
SSegVLMISeg
582
1,963
0
04 Apr 2019
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