4 citations · 7 across the 14 of their papers we have counts for
7 papers · 1 filter
DC-SAE: Deep Compression Semantic Autoencoder for Faster Diffusion Convergence
Xu Huang, Ye Huang, Zijun Liao +6
High-compression tokenizers are essential for scaling latent image generative models. However, aggressive compression creates a fundamental tradeoff between reconstruction fidelity…
Depth-to-Image Synthesis-Driven Generative Unguided Depth Completion
Jiayi Yuan, Na Zhao, De Wen Soh
Guided depth completion methods heavily depend on RGB quality and alignment, while unguided ones often suffer from limited precision due to the absence of explicit visual cues. In…
Beyond a Joke: Multi-Angle Reasoning for Detecting and Explaining Harmful Humor in Memes
Shanhong Liu, Pai Chet Ng, De Wen Soh +2
Internet memes intertwine visual cues, textual content, and cultural context, making them particularly challenging to interpret in scenarios where humor, sarcasm, and harmful inten…
I Know What You Meme, Even If it Emerged Today: Understanding Evolving Memes through Open-World Knowledge Acquisition
Shanhong Liu, Rui Cao, Pai Chet Ng +1
Multimodal memes are dynamic and often require up to date background knowledge for interpretation. Existing methods often overlook such knowledge or rely on fixed parametric knowle…
Leveraging Text-to-Image Diffusion Models for Unsupervised Visual Object Tracking
Zhengbo Zhang, Zhigang Tu, Junsong Yuan +2
Unsupervised visual object tracking is a challenging task that requires following arbitrary targets in videos without training on ground-truth annotations. Despite considerable pro…
VGGT-360: Geometry-Consistent Zero-Shot Panoramic Depth Estimation
Jiayi Yuan, Haobo Jiang, De Wen Soh +1
This paper presents VGGT-360, a novel training-free framework for zero-shot, geometry-consistent panoramic depth estimation. Unlike prior view-independent training-free approaches,…
Yes FLoReNce, I Will Do Better Next Time! Agentic Feedback Reasoning for Humorous Meme Detection
Olivia Shanhong Liu, Pai Chet Ng, De Wen Soh +1
Humorous memes blend visual and textual cues to convey irony, satire, or social commentary, posing unique challenges for AI systems that must interpret intent rather than surface c…