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08/03/2023
Efficient neural supersampling on a novel gaming dataset
Real-time rendering for video games has become increasingly challenging ...
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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...
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06/09/2023
DIFT: Dynamic Iterative Field Transforms for Memory Efficient Optical Flow
Recent advancements in neural network-based optical flow estimation ofte...
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05/18/2023
OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding
We introduce OpenShape, a method for learning multi-modal joint represen...
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04/22/2023
A Review of Deep Learning for Video Captioning
Video captioning (VC) is a fast-moving, cross-disciplinary area of resea...
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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...
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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...
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03/28/2023
4D Panoptic Segmentation as Invariant and Equivariant Field Prediction
In this paper, we develop rotation-equivariant neural networks for 4D pa...
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03/24/2023
DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling
We propose a novel data augmentation approach, DistractFlow, for trainin...
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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...
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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...
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03/02/2023
DejaVu: Conditional Regenerative Learning to Enhance Dense Prediction
We present DejaVu, a novel framework which leverages conditional image r...
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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...
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02/02/2023
Adaptive Siamese Tracking with a Compact Latent Network
In this paper, we provide an intuitive viewing to simplify the Siamese-b...
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01/05/2023
Skip-Attention: Improving Vision Transformers by Paying Less Attention
This work aims to improve the efficiency of vision transformers (ViT). W...
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12/30/2022
Guidance Through Surrogate: Towards a Generic Diagnostic Attack
Adversarial training is an effective approach to make deep neural networ...
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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...
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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...
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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...
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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...
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06/16/2022
Simple and Efficient Architectures for Semantic Segmentation
Though the state-of-the architectures for semantic segmentation, such as...
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04/14/2022
Imposing Consistency for Optical Flow Estimation
Imposing consistency through proxy tasks has been shown to enhance data-...
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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...
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04/05/2022
SALISA: Saliency-based Input Sampling for Efficient Video Object Detection
High-resolution images are widely adopted for high-performance object de...
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03/17/2022
Delta Distillation for Efficient Video Processing
This paper aims to accelerate video stream processing, such as object de...
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02/10/2022
Consistency and Diversity induced Human Motion Segmentation
Subspace clustering is a classical technique that has been widely used f...
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11/24/2021
Distribution Estimation to Automate Transformation Policies for Self-Supervision
In recent visual self-supervision works, an imitated classification obje...
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11/11/2021
Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation
While hand pose estimation is a critical component of most interactive e...
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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...
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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...
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10/24/2021
Perceptual Consistency in Video Segmentation
In this paper, we present a novel perceptual consistency perspective on ...
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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...
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07/02/2021
A Survey on Deep Learning Technique for Video Segmentation
Video segmentation, i.e., partitioning video frames into multiple segmen...
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06/08/2021
On Improving Adversarial Transferability of Vision Transformers
Vision transformers (ViTs) process input images as sequences of patches ...
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05/02/2021
Data-driven Weight Initialization with Sylvester Solvers
In this work, we propose a data-driven scheme to initialize the paramete...
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04/06/2021
InverseForm: A Loss Function for Structured Boundary-Aware Segmentation
We present a novel boundary-aware loss term for semantic segmentation us...
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03/26/2021
On Generating Transferable Targeted Perturbations
While the untargeted black-box transferability of adversarial perturbati...
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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...
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08/06/2020
Structured Convolutions for Efficient Neural Network Design
In this work, we tackle model efficiency by exploiting redundancy in the...
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07/29/2020
Stylized Adversarial Defense
Deep Convolution Neural Networks (CNNs) can easily be fooled by subtle, ...
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06/08/2020
A Self-supervised Approach for Adversarial Robustness
Adversarial examples can cause catastrophic mistakes in Deep Neural Netw...
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04/26/2020
Identity Enhanced Residual Image Denoising
We propose to learn a fully-convolutional network model that consists of...
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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...
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01/15/2020
Image Segmentation Using Deep Learning: A Survey
Image segmentation is a key topic in image processing and computer visio...
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10/19/2019
Component Attention Guided Face Super-Resolution Network: CAGFace
To make the best use of the underlying structure of faces, the collectiv...
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10/14/2019
Sketch-Specific Data Augmentation for Freehand Sketch Recognition
Sketch recognition remains a significant challenge due to the limited tr...
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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...
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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...
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06/04/2019
Towards better Validity: Dispersion based Clustering for Unsupervised Person Re-identification
Person re-identification aims to establish the correct identity correspo...
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05/28/2019
