Fatih Porikli

Fatih Porikli

Australian National University

H-index: 88

Oceania-Australia

About Fatih Porikli

Fatih Porikli, With an exceptional h-index of 88 and a recent h-index of 63 (since 2020), a distinguished researcher at Australian National University, specializes in the field of Computer Vision, Image Processing, Manifold Learning, Dictionary Learning, Deep Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Meta-pre-training with augmentations to generalize neural network processing for domain adaptation

Object-Centric Diffusion for Efficient Video Editing

Feature conditioned output transformer for generalizable semantic segmentation

OCAI: Improving Optical Flow Estimation by Occlusion and Consistency Aware Interpolation

DeCoTR: Enhancing Depth Completion with 2D and 3D Attentions

Openshape: Scaling up 3d shape representation towards open-world understanding

SciFlow: Empowering Lightweight Optical Flow Models with Self-Cleaning Iterations

Neural Mesh Fusion: Unsupervised 3D Planar Surface Understanding

Fatih Porikli Information

University

Position

Qualcomm

Citations(all)

35794

Citations(since 2020)

20149

Cited By

23787

hIndex(all)

88

hIndex(since 2020)

63

i10Index(all)

302

i10Index(since 2020)

232

Email

University Profile Page

Australian National University

Google Scholar

View Google Scholar Profile

Fatih Porikli Skills & Research Interests

Computer Vision

Image Processing

Manifold Learning

Dictionary Learning

Deep Learning

Top articles of Fatih Porikli

Title

Journal

Author(s)

Publication Date

Meta-pre-training with augmentations to generalize neural network processing for domain adaptation

2024/3/7

Object-Centric Diffusion for Efficient Video Editing

arXiv preprint arXiv:2401.05735

Kumara Kahatapitiya

Adil Karjauv

Davide Abati

Fatih Porikli

Yuki M Asano

...

2024/1/11

Feature conditioned output transformer for generalizable semantic segmentation

2024/1/18

OCAI: Improving Optical Flow Estimation by Occlusion and Consistency Aware Interpolation

arXiv preprint arXiv:2403.18092

Jisoo Jeong

Hong Cai

Risheek Garrepalli

Jamie Menjay Lin

Munawar Hayat

...

2024/3/26

DeCoTR: Enhancing Depth Completion with 2D and 3D Attentions

Yunxiao Shi

Manish Kumar Singh

Hong Cai

Fatih Porikli

2024/4

Openshape: Scaling up 3d shape representation towards open-world understanding

Conference on Neural Information Processing Systems (NeurIPS) 2023

Minghua Liu*

Ruoxi Shi*

Kaiming Kuang*

Yinhao Zhu

Xuanlin Li

...

2023/5/18

SciFlow: Empowering Lightweight Optical Flow Models with Self-Cleaning Iterations

arXiv preprint arXiv:2404.08135

Jamie Menjay Lin

Jisoo Jeong

Hong Cai

Risheek Garrepalli

Kai Wang

...

2024/4/11

Neural Mesh Fusion: Unsupervised 3D Planar Surface Understanding

arXiv preprint arXiv:2402.16739

Farhad G Zanjani

Hong Cai

Yinhao Zhu

Leyla Mirvakhabova

Fatih Porikli

2024/2/26

Volumetric sampling with correlative characterization for dense estimation

2024/3/26

Desparsified convolution for sparse activations

2024/2/8

HexaGen3D: StableDiffusion is just one step away from Fast and Diverse Text-to-3D Generation

arXiv preprint arXiv:2401.07727

Antoine Mercier

Ramin Nakhli

Mahesh Reddy

Rajeev Yasarla

Hong Cai

...

2024/1/15

MODELING CONSISTENCY IN MODALITIES OF DATA FOR SEMANTIC SEGMENTATION

2024/2/29

EdgeRelight360: Text-Conditioned 360-Degree HDR Image Generation for Real-Time On-Device Video Portrait Relighting

arXiv preprint arXiv:2404.09918

Min-Hui Lin

Mahesh Reddy

Guillaume Berger

Michel Sarkis

Fatih Porikli

...

2024/4/15

FutureDepth: Learning to Predict the Future Improves Video Depth Estimation

arXiv preprint arXiv:2403.12953

Rajeev Yasarla

Manish Kumar Singh

Hong Cai

Yunxiao Shi

Jisoo Jeong

...

2024/3/19

Efficient pose estimation through iterative refinement

2024/2/20

EFFICIENT COST VOLUME PROCESSING WITHIN ITERATIVE PROCESS

2024/2/29

Ega-depth: Efficient guided attention for self-supervised multi-camera depth estimation

Yunxiao Shi

Hong Cai

Amin Ansari

Fatih Porikli

2023/6

Hierarchical supervised training for neural networks

2023/1/5

Shaped convolution kernels

2023/3/23

Transadapt: A transformative framework for online test time adaptive semantic segmentation

Debasmit Das

Shubhankar Borse

Hyojin Park

Kambiz Azarian

Hong Cai

...

2023/6/4

See List of Professors in Fatih Porikli University(Australian National University)

Co-Authors

H-index: 94
Jiri Matas

Jiri Matas

Ceské vysoké ucení technické v Praze

H-index: 80
Jianbing Shen

Jianbing Shen

Beijing Institute of Technology

H-index: 61
Peter Meer

Peter Meer

Rutgers, The State University of New Jersey

H-index: 61
Salman Khan

Salman Khan

Australian National University

H-index: 52
Janusz Konrad

Janusz Konrad

Boston University

H-index: 40
Prakash Ishwar

Prakash Ishwar

Boston University

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