activity
20172021
most citedCamera View Adjustment Prediction for Improving Image Composition

6 citations · 6 across the 1 of their papers we have counts for

collaborators

7 papers

cs.CV20216 cited

Camera View Adjustment Prediction for Improving Image Composition

Yu-Chuan Su, Raviteja Vemulapalli, Ben Weiss +4

Image composition plays an important role in the quality of a photo. However, not every camera user possesses the knowledge and expertise required for capturing well-composed photo…

cs.CV2020

Contrastive Learning for Label-Efficient Semantic Segmentation

Xiangyun Zhao, Raviteja Vemulapalli, Philip Mansfield +4

Collecting labeled data for the task of semantic segmentation is expensive and time-consuming, as it requires dense pixel-level annotations. While recent Convolutional Neural Netwo…

cs.CV2020

Global Self-Attention Networks for Image Recognition

Zhuoran Shen, Irwan Bello, Raviteja Vemulapalli +2

Recently, a series of works in computer vision have shown promising results on various image and video understanding tasks using self-attention. However, due to the quadratic compu…

cs.CV2020

Boosting Image-based Mutual Gaze Detection using Pseudo 3D Gaze

Bardia Doosti, Ching-Hui Chen, Raviteja Vemulapalli +3

Mutual gaze detection, i.e., predicting whether or not two people are looking at each other, plays an important role in understanding human interactions. In this work, we focus on…

cs.CV2019

Search to Distill: Pearls are Everywhere but not the Eyes

Yu Liu, Xuhui Jia, Mingxing Tan +4

Standard Knowledge Distillation (KD) approaches distill the knowledge of a cumbersome teacher model into the parameters of a student model with a pre-defined architecture. However,…

cs.CV2018

A Compact Embedding for Facial Expression Similarity

Raviteja Vemulapalli, Aseem Agarwala

Most of the existing work on automatic facial expression analysis focuses on discrete emotion recognition, or facial action unit detection. However, facial expressions do not alway…