research
∙
09/12/2023
Beyond Generation: Harnessing Text to Image Models for Object Detection and Segmentation
We propose a new paradigm to automatically generate training data with a...
share
research
∙
05/29/2023
Controllable Text-to-Image Generation with GPT-4
Current text-to-image generation models often struggle to follow textual...
research
∙
07/22/2022
Neural-Sim: Learning to Generate Training Data with NeRF
Training computer vision models usually requires collecting and labeling...
research
∙
07/11/2022
Scaling Novel Object Detection with Weakly Supervised Detection Transformers
Weakly supervised object detection (WSOD) enables object detectors to be...
research
∙
04/23/2022
Visual Attention Emerges from Recurrent Sparse Reconstruction
Visual attention helps achieve robust perception under noise, corruption...
research
∙
01/12/2022
Robust Contrastive Learning against Noisy Views
Contrastive learning relies on an assumption that positive pairs contain...
research
∙
01/21/2020
Deep Depth Prior for Multi-View Stereo
It was recently shown that the structure of convolutional neural network...
research
∙
10/22/2019
A deep active learning system for species identification and counting in camera trap images
Biodiversity conservation depends on accurate, up-to-date information ab...
research
∙
06/27/2018
Learn-to-Score: Efficient 3D Scene Exploration by Predicting View Utility
Camera equipped drones are nowadays being used to explore large scenes a...
research
∙
08/09/2017
Personalized Cinemagraphs using Semantic Understanding and Collaborative Learning
Cinemagraphs are a compelling way to convey dynamic aspects of a scene. ...
research
∙
06/20/2017
Highly curved image sensors: a practical approach for improved optical performance
The significant optical and size benefits of using a curved focal surfac...
research
∙
03/31/2017
Semantic-driven Generation of Hyperlapse from 360^∘ Video
We present a system for converting a fully panoramic (360^∘) video into ...
research
∙
06/30/2015
