research
∙
09/20/2023
Revisiting Kernel Temporal Segmentation as an Adaptive Tokenizer for Long-form Video Understanding
While most modern video understanding models operate on short-range clip...
share
research
∙
06/01/2023
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles
Modern hierarchical vision transformers have added several vision-specif...
research
∙
09/06/2021
Robustness and Generalization via Generative Adversarial Training
While deep neural networks have achieved remarkable success in various c...
research
∙
11/25/2020
Augmentation-Interpolative AutoEncoders for Unsupervised Few-Shot Image Generation
We aim to build image generation models that generalize to new domains f...
research
∙
08/01/2020
Self-supervised Learning of Point Clouds via Orientation Estimation
Point clouds provide a compact and efficient representation of 3D shapes...
research
∙
07/20/2020
Coupling Explicit and Implicit Surface Representations for Generative 3D Modeling
We propose a novel neural architecture for representing 3D surfaces, whi...
research
∙
11/20/2019
Fine-grained Synthesis of Unrestricted Adversarial Examples
We propose a novel approach for generating unrestricted adversarial exam...
research
∙
10/04/2019
Neural Puppet: Generative Layered Cartoon Characters
We propose a learning based method for generating new animations of a ca...
research
∙
10/03/2018
Deep Fundamental Matrix Estimation without Correspondences
Estimating fundamental matrices is a classic problem in computer vision....
research
∙
12/06/2017
Generative Adversarial Perturbations
In this paper, we propose novel generative models for creating adversari...
research
∙
07/18/2017
Vision-based Real Estate Price Estimation
Since the advent of online real estate database companies like Zillow, T...
research
∙
12/13/2016