13 citations · 36 across the 5 of their papers we have counts for
6 papers
Orthogonal Temporal Interpolation for Zero-Shot Video Recognition
Yan Zhu, Junbao Zhuo, Bin Ma +4
Zero-shot video recognition (ZSVR) is a task that aims to recognize video categories that have not been seen during the model training process. Recently, vision-language models (VL…
MAP: Multimodal Uncertainty-Aware Vision-Language Pre-training Model
Yatai Ji, Junjie Wang, Yuan Gong +6
Multimodal semantic understanding often has to deal with uncertainty, which means the obtained messages tend to refer to multiple targets. Such uncertainty is problematic for our i…
Egocentric Video-Language Pretraining @ EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2022
Kevin Qinghong Lin, Alex Jinpeng Wang, Rui Yan +9
In this report, we propose a video-language pretraining (VLP) based solution \cite{kevin2022egovlp} for the EPIC-KITCHENS-100 Multi-Instance Retrieval (MIR) challenge. Especially,…
Interactive Reinforcement Learning for Object Grounding via Self-Talking
Yan Zhu, Shaoting Zhang, Dimitris Metaxas
Humans are able to identify a referred visual object in a complex scene via a few rounds of natural language communications. Success communication requires both parties to engage a…
Better Computer Go Player with Neural Network and Long-term Prediction
Yuandong Tian, Yan Zhu
Competing with top human players in the ancient game of Go has been a long-term goal of artificial intelligence. Go's high branching factor makes traditional search techniques inef…
Semantic Amodal Segmentation
Yan Zhu, Yuandong Tian, Dimitris Mexatas +1
Common visual recognition tasks such as classification, object detection, and semantic segmentation are rapidly reaching maturity, and given the recent rate of progress, it is not…