activity
20172026
most citedImproving Person Re-identification by Attribute and Identity Learning

923 citations · 1.1k across the 48 of their papers we have counts for

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Showing 2024Show all

10 papers · 1 filter

cs.CV2024★ 1 cited

The Silent Assistant: NoiseQuery as Implicit Guidance for Goal-Driven Image Generation

Ruoyu Wang, Huayang Huang, Ye Zhu +2

In this work, we introduce NoiseQuery as a novel method for enhanced noise initialization in versatile goal-driven text-to-image (T2I) generation. Specifically, we propose to lever…

cs.LG2024

Rethinking the Intermediate Features in Adversarial Attacks: Misleading Robotic Models via Adversarial Distillation

Ke Zhao, Huayang Huang, Miao Li +1

Language-conditioned robotic learning has significantly enhanced robot adaptability by enabling a single model to execute diverse tasks in response to verbal commands. Despite thes…

cs.CV2024

SOWing Information: Cultivating Contextual Coherence with MLLMs in Image Generation

Yuhan Pei, Ruoyu Wang, Yongqi Yang +3

Originating from the diffusion phenomenon in physics, which describes the random movement and collisions of particles, diffusion generative models simulate a random walk in the dat…

cs.CV2024★ 1 cited

ROBIN: Robust and Invisible Watermarks for Diffusion Models with Adversarial Optimization

Huayang Huang, Yu Wu, Qian Wang

Watermarking generative content serves as a vital tool for authentication, ownership protection, and mitigation of potential misuse. Existing watermarking methods face the challeng…

cs.CV2024

An Efficient and Effective Transformer Decoder-Based Framework for Multi-Task Visual Grounding

Wei Chen, Long Chen, Yu Wu

Most advanced visual grounding methods rely on Transformers for visual-linguistic feature fusion. However, these Transformer-based approaches encounter a significant drawback: the…

cs.CV2024

Iterative Ensemble Training with Anti-Gradient Control for Mitigating Memorization in Diffusion Models

Xiao Liu, Xiaoliu Guan, Yu Wu +1

Diffusion models, known for their tremendous ability to generate novel and high-quality samples, have recently raised concerns due to their data memorization behavior, which poses…

cs.CV2024

LAIP: Learning Local Alignment from Image-Phrase Modeling for Text-based Person Search

Haiguang Wang, Yu Wu, Mengxia Wu +2

Text-based person search aims at retrieving images of a particular person based on a given textual description. A common solution for this task is to directly match the entire imag…

cs.CV2024

CoMM: A Coherent Interleaved Image-Text Dataset for Multimodal Understanding and Generation

Wei Chen, Lin Li, Yongqi Yang +5

Interleaved image-text generation has emerged as a crucial multimodal task, aiming at creating sequences of interleaved visual and textual content given a query. Despite notable ad…

cs.CV2024

Improving Bird's Eye View Semantic Segmentation by Task Decomposition

Tianhao Zhao, Yongcan Chen, Yu Wu +8

Semantic segmentation in bird's eye view (BEV) plays a crucial role in autonomous driving. Previous methods usually follow an end-to-end pipeline, directly predicting the BEV segme…

cs.CV2024★ 1 cited

D: Scaling Up Deepfake Detection by Learning from Discrepancy

Yongqi Yang, Zhihao Qian, Ye Zhu +2

The boom of Generative AI brings opportunities entangled with risks and concerns. Existing literature emphasizes the generalization capability of deepfake detection on unseen gener…