E-LIB Suche - Ergebnisse für: Gundogdu, Erhan

1

ABO: Dataset and Benchmarks for Real-World 3D Object Unders..:

, In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),

Collins, Jasmine ; Goel, Shubham ; Deng, Kenan... - p. 21094-21104 , 2022

2

GarNet++: Improving Fast and Accurate Static 3D Cloth Drapi..:

Gundogdu, Erhan ; Constantin, Victor ; Parashar, Shaifali...
IEEE Transactions on Pattern Analysis and Machine Intelligence. 44 (2022) 1 - p. 181-195 , 2022

Link: https://doi.org/10.1109/..

3

Shape Reconstruction by Learning Differentiable Surface Rep..:

, In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),

Bednarik, Jan ; Parashar, Shaifali ; Gundogdu, Erhan.. - p. 4715-4724 , 2020

Link: https://doi.org/10.1109/..

4

Quadruplet Selection Methods for Deep Embedding Learning:

, In: 2019 IEEE International Conference on Image Processing (ICIP),

Karaman, Kaan ; Gundogdu, Erhan ; Koc, Aykut. - p. 3452-3456 , 2019

Link: https://doi.org/10.1109/..

5

The Sixth Visual Object Tracking VOT2018 Challenge Results:

, In: Lecture Notes in Computer Science; Computer Vision – ECCV 2018 Workshops,

Kristan, Matej ; Leonardis, Aleš ; Matas, Jiří... - p. 3-53 , 2019

Link: https://doi.org/10.1007/..

6

GarNet: A Two-Stream Network for Fast and Accurate 3D Cloth..:

, In: 2019 IEEE/CVF International Conference on Computer Vision (ICCV),

Gundogdu, Erhan ; Constantin, Victor ; Seifoddini, Amrollah... - p. 8738-8747 , 2019

Link: https://doi.org/10.1109/..

7

Fine‐grained recognition of maritime vessels and land vehic..:

Solmaz, Berkan ; Gundogdu, Erhan ; Yucesoy, Veysel..
IET Computer Vision. 12 (2018) 8 - p. 1121-1132 , 2018

Link: https://doi.org/10.1049/..

8

A method for quadruplet sample selection in deep feature le..:

, In: 2018 26th Signal Processing and Communications Applications Conference (SIU),

Karaman, Kaan ; Gundogdu, Erhan ; Koc, Aykut. - p. 1-4 , 2018

Link: https://doi.org/10.1109/..

9

Sparse representation of two- and three-dimensional images ..:

Koç, Aykut ; Bartan, Burak ; Gundogdu, Erhan..
Expert Systems with Applications. 77 (2017) - p. 247-255 , 2017

Link: https://doi.org/10.1016/..

10

Generic and attribute-specific deep representations for mar..:

Solmaz, Berkan ; Gundogdu, Erhan ; Yucesoy, Veysel.
IPSJ Transactions on Computer Vision and Applications. 9 (2017) 1 - p. , 2017

Link: https://doi.org/10.1186/..

11

The Visual Object Tracking VOT2017 Challenge Results:

, In: 2017 IEEE International Conference on Computer Vision Workshops (ICCVW),

Kristan, Matej ; Leonardis, Ales ; Matas, Jiri... - p. 1949-1972 , 2017

Link: https://doi.org/10.1109/..

12

Infrared object classification using decision tree based de..:

, In: 2016 24th Signal Processing and Communication Application Conference (SIU),

Gundogdu, Erhan ; Koc, Aykut ; Alatan, A. Aydin - p. 1913-1916 , 2016

Link: https://doi.org/10.1109/..

13

Bi-model visual tracking with correlation filters:

, In: 2015 23nd Signal Processing and Communications Applications Conference (SIU),

Tanisik, Gokhan ; Gundogdu, Erhan - p. 982-985 , 2015

Link: https://doi.org/10.1109/..

14

iEdit: Localised Text-guided Image Editing with Weak Superv..:

Bodur, Rumeysa ; Gundogdu, Erhan ; Bhattarai, Binod...
http://arxiv.org/abs/2305.05947. , 2023

Link: http://arxiv.org/abs/230..

15

Contrastive Language-Action Pre-training for Temporal Local..:

Xu, Mengmeng ; Gundogdu, Erhan ; Lapin, Maksim...
http://arxiv.org/abs/2204.12293. , 2022

Link: http://arxiv.org/abs/220..