activity
20172022
most citedFine-grained Video-Text Retrieval with Hierarchical Graph Reasoning

26 citations · 125 across the 21 of their papers we have counts for

collaborators

25 papers

cs.CV202214 cited

Language Conditioned Spatial Relation Reasoning for 3D Object Grounding

Shizhe Chen, Pierre-Louis Guhur, Makarand Tapaswi +2

Localizing objects in 3D scenes based on natural language requires understanding and reasoning about spatial relations. In particular, it is often crucial to distinguish similar ob…

cs.CV2022

Think Global, Act Local: Dual-scale Graph Transformer for Vision-and-Language Navigation

Shizhe Chen, Pierre-Louis Guhur, Makarand Tapaswi +2

Following language instructions to navigate in unseen environments is a challenging problem for autonomous embodied agents. The agent not only needs to ground languages in visual s…

cs.CV2021

Product-oriented Machine Translation with Cross-modal Cross-lingual Pre-training

Yuqing Song, Shizhe Chen, Qin Jin +3

Translating e-commercial product descriptions, a.k.a product-oriented machine translation (PMT), is essential to serve e-shoppers all over the world. However, due to the domain spe…

cs.CV2021

Airbert: In-domain Pretraining for Vision-and-Language Navigation

Pierre-Louis Guhur, Makarand Tapaswi, Shizhe Chen +2

Vision-and-language navigation (VLN) aims to enable embodied agents to navigate in realistic environments using natural language instructions. Given the scarcity of domain-specific…

cs.CV20214 cited

Elaborative Rehearsal for Zero-shot Action Recognition

Shizhe Chen, Dong Huang

The growing number of action classes has posed a new challenge for video understanding, making Zero-Shot Action Recognition (ZSAR) a thriving direction. The ZSAR task aims to recog…

cs.CV20211 cited

Question-controlled Text-aware Image Captioning

Anwen Hu, Shizhe Chen, Qin Jin

For an image with multiple scene texts, different people may be interested in different text information. Current text-aware image captioning models are not able to generate distin…