research
∙
05/28/2023
KAFA: Rethinking Image Ad Understanding with Knowledge-Augmented Feature Adaptation of Vision-Language Models
Image ad understanding is a crucial task with wide real-world applicatio...
share
research
∙
04/03/2023
Chain-of-Thought Predictive Control
We study generalizable policy learning from demonstrations for complex l...
research
∙
12/19/2022
MetaCLUE: Towards Comprehensive Visual Metaphors Research
Creativity is an indispensable part of human cognition and also an inher...
research
∙
06/26/2022
Improving Policy Optimization with Generalist-Specialist Learning
Generalization in deep reinforcement learning over unseen environment va...
research
∙
01/24/2022
Learning to Act with Affordance-Aware Multimodal Neural SLAM
Recent years have witnessed an emerging paradigm shift toward embodied a...
research
∙
11/16/2021
TRIG: Transformer-Based Text Recognizer with Initial Embedding Guidance
Scene text recognition (STR) is an important bridge between images and t...
research
∙
11/10/2021
LUMINOUS: Indoor Scene Generation for Embodied AI Challenges
Learning-based methods for training embodied agents typically require a ...
research
∙
08/13/2021
IFR: Iterative Fusion Based Recognizer For Low Quality Scene Text Recognition
Although recent works based on deep learning have made progress in impro...
research
∙
07/30/2021
ManiSkill: Learning-from-Demonstrations Benchmark for Generalizable Manipulation Skills
Learning generalizable manipulation skills is central for robots to achi...
research
∙
03/29/2021
Tracking Based Semi-Automatic Annotation for Scene Text Videos
Recently, video scene text detection has received increasing attention d...
research
∙
12/09/2020
Lipschitz Regularized CycleGAN for Improving Semantic Robustness in Unpaired Image-to-image Translation
For unpaired image-to-image translation tasks, GAN-based approaches are ...
research
∙
10/26/2020
Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals
We study how to learn a policy with compositional generalizability. We p...
research
∙
08/18/2020
One-pixel Signature: Characterizing CNN Models for Backdoor Detection
We tackle the convolution neural networks (CNNs) backdoor detection prob...
research
∙
11/19/2019
Information-Theoretic Local Minima Characterization and Regularization
Recent advances in deep learning theory have evoked the study of general...
research
∙
12/06/2017