b'Fatih Porikli'

research

∙ 08/03/2023

Efficient neural supersampling on a novel gaming dataset

Real-time rendering for video games has become increasingly challenging ...

0 Antoine Mercier, et al. ∙

research

∙ 07/26/2023

MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation

We propose MAMo, a novel memory and attention frame-work for monocular v...

0 Rajeev Yasarla, et al. ∙

research

∙ 06/09/2023

DIFT: Dynamic Iterative Field Transforms for Memory Efficient Optical Flow

Recent advancements in neural network-based optical flow estimation ofte...

0 Risheek Garrepalli, et al. ∙

research

∙ 05/18/2023

OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding

We introduce OpenShape, a method for learning multi-modal joint represen...

0 Minghua Liu, et al. ∙

research

∙ 04/22/2023

A Review of Deep Learning for Video Captioning

Video captioning (VC) is a fast-moving, cross-disciplinary area of resea...

0 Moloud Abdar, et al. ∙

research

∙ 04/12/2023

Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting Estimation

Inverse path tracing has recently been applied to joint material and lig...

0 Liwen Wu, et al. ∙

research

∙ 04/06/2023

EGA-Depth: Efficient Guided Attention for Self-Supervised Multi-Camera Depth Estimation

The ubiquitous multi-camera setup on modern autonomous vehicles provides...

0 Yunxiao Shi, et al. ∙

research

∙ 03/28/2023

4D Panoptic Segmentation as Invariant and Equivariant Field Prediction

In this paper, we develop rotation-equivariant neural networks for 4D pa...

0 Minghan Zhu, et al. ∙

research

∙ 03/24/2023

DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling

We propose a novel data augmentation approach, DistractFlow, for trainin...

0 Jisoo Jeong, et al. ∙

research

∙ 03/08/2023

QuickSRNet: Plain Single-Image Super-Resolution Architecture for Faster Inference on Mobile Platforms

In this work, we present QuickSRNet, an efficient super-resolution archi...

0 Guillaume Berger, et al. ∙

research

∙ 03/03/2023

X^3KD: Knowledge Distillation Across Modalities, Tasks and Stages for Multi-Camera 3D Object Detection

Recent advances in 3D object detection (3DOD) have obtained remarkably s...

0 Marvin Klingner, et al. ∙

research

∙ 03/02/2023

DejaVu: Conditional Regenerative Learning to Enhance Dense Prediction

We present DejaVu, a novel framework which leverages conditional image r...

0 Shubhankar Borse, et al. ∙

research

∙ 02/24/2023

TransAdapt: A Transformative Framework for Online Test Time Adaptive Semantic Segmentation

Test-time adaptive (TTA) semantic segmentation adapts a source pre-train...

0 Debasmit Das, et al. ∙

research

∙ 02/02/2023

Adaptive Siamese Tracking with a Compact Latent Network

In this paper, we provide an intuitive viewing to simplify the Siamese-b...

0 Xingping Dong, et al. ∙

research

∙ 01/05/2023

Skip-Attention: Improving Vision Transformers by Paying Less Attention

This work aims to improve the efficiency of vision transformers (ViT). W...

21 Shashanka Venkataramanan, et al. ∙

research

∙ 12/30/2022

Guidance Through Surrogate: Towards a Generic Diagnostic Attack

Adversarial training is an effective approach to make deep neural networ...

0 Muzammal Naseer, et al. ∙

research

∙ 12/12/2022

Test-time Adaptation vs. Training-time Generalization: A Case Study in Human Instance Segmentation using Keypoints Estimation

We consider the problem of improving the human instance segmentation mas...

0 Kambiz Azarian, et al. ∙

research

∙ 12/03/2022

PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models

Generalizable 3D part segmentation is important but challenging in visio...

0 Minghua Liu, et al. ∙

research

∙ 10/13/2022

X-Align: Cross-Modal Cross-View Alignment for Bird's-Eye-View Segmentation

Bird's-eye-view (BEV) grid is a common representation for the perception...

0 Shubhankar Borse, et al. ∙

research

∙ 06/16/2022

IRISformer: Dense Vision Transformers for Single-Image Inverse Rendering in Indoor Scenes

Indoor scenes exhibit significant appearance variations due to myriad in...

0 Rui Zhu, et al. ∙

research

∙ 06/16/2022

Simple and Efficient Architectures for Semantic Segmentation

Though the state-of-the architectures for semantic segmentation, such as...

19 Dushyant Mehta, et al. ∙

research

∙ 04/14/2022

Imposing Consistency for Optical Flow Estimation

Imposing consistency through proxy tasks has been shown to enhance data-...

10 Jisoo Jeong, et al. ∙

research

∙ 04/11/2022

Panoptic, Instance and Semantic Relations: A Relational Context Encoder to Enhance Panoptic Segmentation

This paper presents a novel framework to integrate both semantic and ins...

10 Shubhankar Borse, et al. ∙

research

∙ 04/05/2022

SALISA: Saliency-based Input Sampling for Efficient Video Object Detection

High-resolution images are widely adopted for high-performance object de...

0 Babak Ehteshami Bejnordi, et al. ∙

research

∙ 03/17/2022

Delta Distillation for Efficient Video Processing

This paper aims to accelerate video stream processing, such as object de...

3 Amirhossein Habibian, et al. ∙

research

∙ 02/10/2022

Consistency and Diversity induced Human Motion Segmentation

Subspace clustering is a classical technique that has been widely used f...

10 Tao Zhou, et al. ∙

research

∙ 11/24/2021

Distribution Estimation to Automate Transformation Policies for Self-Supervision

In recent visual self-supervision works, an imitated classification obje...

19 Seunghan Yang, et al. ∙

research

∙ 11/11/2021

Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation

While hand pose estimation is a critical component of most interactive e...

7 John Yang, et al. ∙

research

∙ 11/03/2021

HS3: Learning with Proper Task Complexity in Hierarchically Supervised Semantic Segmentation

While deeply supervised networks are common in recent literature, they t...

0 Shubhankar Borse, et al. ∙

research

∙ 10/24/2021

X-Distill: Improving Self-Supervised Monocular Depth via Cross-Task Distillation

In this paper, we propose a novel method, X-Distill, to improve the self...

0 Hong Cai, et al. ∙

research

∙ 10/24/2021

Perceptual Consistency in Video Segmentation

In this paper, we present a novel perceptual consistency perspective on ...

0 Yizhe Zhang, et al. ∙

research

∙ 10/24/2021

AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentation

In video segmentation, generating temporally consistent results across f...

0 Yizhe Zhang, et al. ∙

research

∙ 07/02/2021

A Survey on Deep Learning Technique for Video Segmentation

Video segmentation, i.e., partitioning video frames into multiple segmen...

0 Wenguan Wang, et al. ∙

research

∙ 06/08/2021

On Improving Adversarial Transferability of Vision Transformers

Vision transformers (ViTs) process input images as sequences of patches ...

0 Muzammal Naseer, et al. ∙

research

∙ 05/02/2021

Data-driven Weight Initialization with Sylvester Solvers

In this work, we propose a data-driven scheme to initialize the paramete...

0 Debasmit Das, et al. ∙

research

∙ 04/06/2021

InverseForm: A Loss Function for Structured Boundary-Aware Segmentation

We present a novel boundary-aware loss term for semantic segmentation us...

8 Shubhankar Borse, et al. ∙

research

∙ 03/26/2021

On Generating Transferable Targeted Perturbations

While the untargeted black-box transferability of adversarial perturbati...

0 Muzammal Naseer, et al. ∙

research

∙ 03/19/2021

Cascade Weight Shedding in Deep Neural Networks: Benefits and Pitfalls for Network Pruning

We report, for the first time, on the cascade weight shedding phenomenon...

0 Kambiz Azarian, et al. ∙

research

∙ 08/06/2020

Structured Convolutions for Efficient Neural Network Design

In this work, we tackle model efficiency by exploiting redundancy in the...

68 Yash Bhalgat, et al. ∙

research

∙ 07/29/2020

Stylized Adversarial Defense

Deep Convolution Neural Networks (CNNs) can easily be fooled by subtle, ...

8 Muzammal Naseer, et al. ∙

research

∙ 06/08/2020

A Self-supervised Approach for Adversarial Robustness

Adversarial examples can cause catastrophic mistakes in Deep Neural Netw...

15 Muzammal Naseer, et al. ∙

research

∙ 04/26/2020

Identity Enhanced Residual Image Denoising

We propose to learn a fully-convolutional network model that consists of...

0 Saeed Anwar, et al. ∙

research

∙ 01/19/2020

See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks

We introduce a novel network, called CO-attention Siamese Network (COSNe...

16 Xiankai Lu, et al. ∙

research

∙ 01/15/2020

Image Segmentation Using Deep Learning: A Survey

Image segmentation is a key topic in image processing and computer visio...

163 Shervin Minaee, et al. ∙

research

∙ 10/19/2019

Component Attention Guided Face Super-Resolution Network: CAGFace

To make the best use of the underlying structure of faces, the collectiv...

24 Ratheesh Kalarot, et al. ∙

research

∙ 10/14/2019

Sketch-Specific Data Augmentation for Freehand Sketch Recognition

Sketch recognition remains a significant challenge due to the limited tr...

9 Ying Zheng, et al. ∙

research

∙ 10/06/2019

Joint Stereo Video Deblurring, Scene Flow Estimation and Moving Object Segmentation

Stereo videos for the dynamic scenes often show unpleasant blurred effec...

12 Liyuan Pan, et al. ∙

research

∙ 08/26/2019

CoinNet: Deep Ancient Roman Republican Coin Classification via Feature Fusion and Attention

We perform classification of ancient Roman Republican coins via recogniz...

7 Hafeez Anwar, et al. ∙

research

∙ 06/04/2019

Towards better Validity: Dispersion based Clustering for Unsupervised Person Re-identification

Person re-identification aims to establish the correct identity correspo...

3 Guodong Ding, et al. ∙

research

∙ 05/28/2019

Cross-Domain Transferability of Adversarial Perturbations

Adversarial examples reveal the blind spots of deep neural networks (DNN...

0 Muzammal Naseer, et al. ∙

Fatih Porikli

Featured Co-authors