research
∙
06/25/2023
Adaptive Sharpness-Aware Pruning for Robust Sparse Networks
Robustness and compactness are two essential components of deep learning...
share
research
∙
06/14/2023
Heterogeneous Continual Learning
We propose a novel framework and a solution to tackle the continual lear...
research
∙
06/09/2023
FasterViT: Fast Vision Transformers with Hierarchical Attention
We design a new family of hybrid CNN-ViT neural networks, named FasterVi...
research
∙
04/02/2023
Recurrence without Recurrence: Stable Video Landmark Detection with Deep Equilibrium Models
Cascaded computation, whereby predictions are recurrently refined over s...
research
∙
12/06/2022
RANA: Relightable Articulated Neural Avatars
We propose RANA, a relightable and articulated neural avatar for the pho...
research
∙
10/13/2022
Structural Pruning via Latency-Saliency Knapsack
Structural pruning can simplify network architecture and improve inferen...
research
∙
06/20/2022
Global Context Vision Transformers
We propose global context vision transformer (GC ViT), a novel architect...
research
∙
03/29/2022
DRaCoN – Differentiable Rasterization Conditioned Neural Radiance Fields for Articulated Avatars
Acquisition and creation of digital human avatars is an important proble...
research
∙
03/22/2022
GradViT: Gradient Inversion of Vision Transformers
In this work we demonstrate the vulnerability of vision transformers (Vi...
research
∙
02/14/2022
Do Gradient Inversion Attacks Make Federated Learning Unsafe?
Federated learning (FL) allows the collaborative training of AI models w...
research
∙
12/14/2021
AdaViT: Adaptive Tokens for Efficient Vision Transformer
We introduce AdaViT, a method that adaptively adjusts the inference cost...
research
∙
10/22/2021
When to Prune? A Policy towards Early Structural Pruning
Pruning enables appealing reductions in network memory footprint and tim...
research
∙
10/20/2021
HALP: Hardware-Aware Latency Pruning
Structural pruning can simplify network architecture and improve inferen...
research
∙
10/10/2021
NViT: Vision Transformer Compression and Parameter Redistribution
Transformers yield state-of-the-art results across many tasks. However, ...
research
∙
07/13/2021
Deep Neural Networks are Surprisingly Reversible: A Baseline for Zero-Shot Inversion
Understanding the behavior and vulnerability of pre-trained deep neural ...
research
∙
06/10/2021
Adversarial Motion Modelling helps Semi-supervised Hand Pose Estimation
Hand pose estimation is difficult due to different environmental conditi...
research
∙
04/27/2021
KAMA: 3D Keypoint Aware Body Mesh Articulation
We present KAMA, a 3D Keypoint Aware Mesh Articulation approach that all...
research
∙
04/15/2021
See through Gradients: Image Batch Recovery via GradInversion
Training deep neural networks requires gradient estimation from data bat...
research
∙
04/09/2021
DexYCB: A Benchmark for Capturing Hand Grasping of Objects
We introduce DexYCB, a new dataset for capturing hand grasping of object...
research
∙
03/30/2020
Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation under Hand-Object Interaction
In this work, we study how well different type of approaches generalise ...
research
∙
03/20/2020
Weakly Supervised 3D Hand Pose Estimation via Biomechanical Constraints
Estimating 3D hand pose from 2D images is a difficult, inverse problem d...
research
∙
03/17/2020
Weakly-Supervised 3D Human Pose Learning via Multi-view Images in the Wild
One major challenge for monocular 3D human pose estimation in-the-wild i...
research
∙
02/22/2020
HarDNN: Feature Map Vulnerability Evaluation in CNNs
As Convolutional Neural Networks (CNNs) are increasingly being employed ...
research
∙
12/18/2019
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion
We introduce DeepInversion, a new method for synthesizing images from th...
research
∙
06/25/2019
Importance Estimation for Neural Network Pruning
Structural pruning of neural network parameters reduces computation, ene...
research
∙
05/06/2019
Few-shot Adaptive Gaze Estimation
Inter-personal anatomical differences limit the accuracy of person-indep...
research
∙
05/03/2019
SCOPS: Self-Supervised Co-Part Segmentation
Parts provide a good intermediate representation of objects that is robu...
research
∙
04/02/2019
Boosting segmentation with weak supervision from image-to-image translation
In many cases, especially with medical images, it is prohibitively chall...
research
∙
04/26/2018
IamNN: Iterative and Adaptive Mobile Neural Network for Efficient Image Classification
Deep residual networks (ResNets) made a recent breakthrough in deep lear...
research
∙
04/25/2018
Hand Pose Estimation via Latent 2.5D Heatmap Regression
Estimating the 3D pose of a hand is an essential part of human-computer ...
research
∙
12/11/2017
3D Hand Pose Estimation: From Current Achievements to Future Goals
In this paper, we strive to answer two questions: What is the current st...
research
∙
11/30/2017
Budget-Aware Activity Detection with A Recurrent Policy Network
In this paper, we address the challenging problem of effi- cient tempora...
research
∙
09/05/2017
Improving Landmark Localization with Semi-Supervised Learning
We present two techniques to improve landmark localization from partiall...
research
∙
05/19/2017
A Lightweight Approach for On-the-Fly Reflectance Estimation
Estimating surface reflectance (BRDF) is one key component for complete ...
research
∙
11/19/2016