activity
20192023
most citedContext Disentangling and Prototype Inheriting for Robust Visual Grounding

53 citations · 72 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2023★ 53 cited

Context Disentangling and Prototype Inheriting for Robust Visual Grounding

Wei Tang, Liang Li, Xuejing Liu +3

Visual grounding (VG) aims to locate a specific target in an image based on a given language query. The discriminative information from context is important for distinguishing the…

cs.CV2023

What Large Language Models Bring to Text-rich VQA?

Xuejing Liu, Wei Tang, Xinzhe Ni +4

Text-rich VQA, namely Visual Question Answering based on text recognition in the images, is a cross-modal task that requires both image comprehension and text recognition. In this…

cs.CV2023

Deeply Coupled Cross-Modal Prompt Learning

Xuejing Liu, Wei Tang, Jinghui Lu +3

Recent advancements in multimodal foundation models (e.g., CLIP) have excelled in zero-shot generalization. Prompt tuning involved in the knowledge transfer from foundation models…

cs.CV2022

Entity-enhanced Adaptive Reconstruction Network for Weakly Supervised Referring Expression Grounding

Xuejing Liu, Liang Li, Shuhui Wang +4

Weakly supervised Referring Expression Grounding (REG) aims to ground a particular target in an image described by a language expression while lacking the correspondence between ta…

cs.CV2020★ 11 cited

Parsing-based View-aware Embedding Network for Vehicle Re-Identification

Dechao Meng, Liang Li, Xuejing Liu +6

Vehicle Re-Identification is to find images of the same vehicle from various views in the cross-camera scenario. The main challenges of this task are the large intra-instance dista…

cs.CV2019★ 2 cited

Knowledge-guided Pairwise Reconstruction Network for Weakly Supervised Referring Expression Grounding

Xuejing Liu, Liang Li, Shuhui Wang +3

Weakly supervised referring expression grounding (REG) aims at localizing the referential entity in an image according to linguistic query, where the mapping between the image regi…

cs.CV2019★ 6 cited

Adaptive Reconstruction Network for Weakly Supervised Referring Expression Grounding

Xuejing Liu, Liang Li, Shuhui Wang +3

Weakly supervised referring expression grounding aims at localizing the referential object in an image according to the linguistic query, where the mapping between the referential…