In the era of AI-generated content (AIGC) malicious tampering poses imminent threats to
copyright integrity and information security. Current deep image watermarking while widely …

Temporal action localization (TAL) requires long-form reasoning to predict actions of various
durations and complex content. Given limited GPU memory, training TAL end to end (ie, from …

Recent breakthroughs in zero-shot voice synthesis have enabled imitating a speaker's voice
using just a few seconds of recording while maintaining a high level of realism. Alongside its …

Large pretrained models are increasingly crucial in modern computer vision tasks. These
models are typically used in downstream tasks by end-to-end finetuning which is highly …

AI-generated video has revolutionized short video production, filmmaking, and personalized
media, making video local editing an essential tool. However, this progress also blurs the …

Cross-modal Steganography is the practice of concealing secret signals in publicly available
cover signals (distinct from the modality of the secret signals) unobtrusively. While previous …

Numerous studies have recently advanced the state-of-the art for representing videos
through an implicit neural network (INR). As these models become increasingly ubiquitous …

Recent advances in large language models (LLMs) have blurred the boundary of high-
quality text generation between humans and machines, which is favorable for generative …

Motion capture (mocap) data stores the skeleton movement of recorded objects or humans
and is essential for various 3D applications, such as games, animations, virtual reality …

Transmission distortions within steganography systems easily cause dramatic degradations
of revealing and invisibility performances. Previous works lacked sufficient adaptation for …