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20182023
most citedLearning to Compose and Reason with Language Tree Structures for Visual Grounding

198 citations · 617 across the 20 of their papers we have counts for

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Showing 2023 · cs.CVShow all

5 papers · 2 filters

cs.CV2023

Decompose Semantic Shifts for Composed Image Retrieval

Xingyu Yang, Daqing Liu, Heng Zhang +3

Composed image retrieval is a type of image retrieval task where the user provides a reference image as a starting point and specifies a text on how to shift from the starting poin…

cs.CV2023★ 2 cited

Cocktail: Mixing Multi-Modality Controls for Text-Conditional Image Generation

Minghui Hu, Jianbin Zheng, Daqing Liu +4

Text-conditional diffusion models are able to generate high-fidelity images with diverse contents. However, linguistic representations frequently exhibit ambiguous descriptions of…

cs.CV2023

MMoT: Mixture-of-Modality-Tokens Transformer for Composed Multimodal Conditional Image Synthesis

Jianbin Zheng, Daqing Liu, Chaoyue Wang +4

Existing multimodal conditional image synthesis (MCIS) methods generate images conditioned on any combinations of various modalities that require all of them must be exactly confor…

cs.CV2023★ 11 cited

ESceme: Vision-and-Language Navigation with Episodic Scene Memory

Qi Zheng, Daqing Liu, Chaoyue Wang +3

Vision-and-language navigation (VLN) simulates a visual agent that follows natural-language navigation instructions in real-world scenes. Existing approaches have made enormous pro…

cs.CV2023

Eliminating Contextual Prior Bias for Semantic Image Editing via Dual-Cycle Diffusion

Zuopeng Yang, Tianshu Chu, Xin Lin +4

The recent success of text-to-image generation diffusion models has also revolutionized semantic image editing, enabling the manipulation of images based on query/target texts. Des…