1 citations · 2 across the 13 of their papers we have counts for
14 papers
ActionMap: Robot Policy Learning via Voxel Action Heatmap
Pei Yang, Hai Ci, Yanzhe Chen +3
Vision-language-action (VLA) models have advanced rapidly across backbones, training recipes, and data scale, yet the action decoder, which converts the backbone's hidden state int…
UENR-600K: A Large-Scale Physically Grounded Dataset for Nighttime Video Deraining
Pei Yang, Hai Ci, Beibei Lin +2
Nighttime video deraining is uniquely challenging because raindrops interact with artificial lighting. Unlike daytime white rain, nighttime rain takes on various colors and appears…
H2R-Grounder: A Paired-Data-Free Paradigm for Translating Human Interaction Videos into Physically Grounded Robot Videos
Hai Ci, Xiaokang Liu, Pei Yang +2
Robots that learn manipulation skills from everyday human videos could acquire broad capabilities without tedious robot data collection. We propose a video-to-video translation fra…
X-Humanoid: Robotize Human Videos to Generate Humanoid Videos at Scale
Pei Yang, Hai Ci, Yiren Song +1
The advancement of embodied AI has unlocked significant potential for intelligent humanoid robots. However, progress in both Vision-Language-Action (VLA) models and world models is…
TokenPure: Watermark Removal through Tokenized Appearance and Structural Guidance
Pei Yang, Yepeng Liu, Kelly Peng +2
In the digital economy era, digital watermarking serves as a critical basis for ownership proof of massive replicable content, including AI-generated and other virtual assets. Desi…
DiffSeg30k: A Multi-Turn Diffusion Editing Benchmark for Localized AIGC Detection
Hai Ci, Ziheng Peng, Pei Yang +2
Diffusion-based editing enables realistic modification of local image regions, making AI-generated content harder to detect. Existing AIGC detection benchmarks focus on classifying…
Exploring Diffusion with Test-Time Training on Efficient Image Restoration
Rongchang Lu, Tianduo Luo, Yunzhi Jiang +4
Image restoration faces challenges including ineffective feature fusion, computational bottlenecks and inefficient diffusion processes. To address these, we propose DiffRWKVIR, a n…
macOSWorld: A Multilingual Interactive Benchmark for GUI Agents
Pei Yang, Hai Ci, Mike Zheng Shou
Graphical User Interface (GUI) agents show promising capabilities for automating computer-use tasks and facilitating accessibility, but existing interactive benchmarks are mostly E…
In-Context Defense in Computer Agents: An Empirical Study
Pei Yang, Hai Ci, Mike Zheng Shou
Computer agents powered by vision-language models (VLMs) have significantly advanced human-computer interaction, enabling users to perform complex tasks through natural language in…
Anti-Reference: Universal and Immediate Defense Against Reference-Based Generation
Yiren Song, Shengtao Lou, Xiaokang Liu +4
Diffusion models have revolutionized generative modeling with their exceptional ability to produce high-fidelity images. However, misuse of such potent tools can lead to the creati…
IDProtector: An Adversarial Noise Encoder to Protect Against ID-Preserving Image Generation
Yiren Song, Pei Yang, Hai Ci +1
Recently, zero-shot methods like InstantID have revolutionized identity-preserving generation. Unlike multi-image finetuning approaches such as DreamBooth, these zero-shot methods…
Steganalysis on Digital Watermarking: Is Your Defense Truly Impervious?
Pei Yang, Hai Ci, Yiren Song +1
Digital watermarking techniques are crucial for copyright protection and source identification of images, especially in the era of generative AI models. However, many existing wate…
WMAdapter: Adding WaterMark Control to Latent Diffusion Models
Hai Ci, Yiren Song, Pei Yang +2
Watermarking is crucial for protecting the copyright of AI-generated images. We propose WMAdapter, a diffusion model watermark plugin that takes user-specified watermark informatio…
RingID: Rethinking Tree-Ring Watermarking for Enhanced Multi-Key Identification
Hai Ci, Pei Yang, Yiren Song +1
We revisit Tree-Ring Watermarking, a recent diffusion model watermarking method that demonstrates great robustness to various attacks. We conduct an in-depth study on it and reveal…