activity
20182021
most citedHow to Make a BLT Sandwich? Learning to Reason towards Understanding Web Instructional Videos

5 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2021★ 1 cited

PROVES: Establishing Image Provenance using Semantic Signatures

Mingyang Xie, Manav Kulshrestha, Shaojie Wang +4

Modern AI tools, such as generative adversarial networks, have transformed our ability to create and modify visual data with photorealistic results. However, one of the deleterious…

cs.CV2020

Adversarial Robustness of Deep Sensor Fusion Models

Shaojie Wang, Tong Wu, Ayan Chakrabarti +1

We experimentally study the robustness of deep camera-LiDAR fusion architectures for 2D object detection in autonomous driving. First, we find that the fusion model is usually both…

cs.CV2019★ 1 cited

Improve CAM with Auto-adapted Segmentation and Co-supervised Augmentation

Ziyi Kou, Guofeng Cui, Shaojie Wang +2

Weakly Supervised Object Localization (WSOL) methods generate both classification and localization results by learning from only image category labels. Previous methods usually uti…

cs.CV2018★ 5 cited

How to Make a BLT Sandwich? Learning to Reason towards Understanding Web Instructional Videos

Shaojie Wang, Wentian Zhao, Ziyi Kou +1

Understanding web instructional videos is an essential branch of video understanding in two aspects. First, most existing video methods focus on short-term actions for a-few-second…

cs.LG2018★ 2 cited

GAN-EM: GAN based EM learning framework

Wentian Zhao, Shaojie Wang, Zhihuai Xie +2

Expectation maximization (EM) algorithm is to find maximum likelihood solution for models having latent variables. A typical example is Gaussian Mixture Model (GMM) which requires…