most citedLightweight Deep Learning for Resource-Constrained Environments: A Survey

5 citations · 16 across the 15 of their papers we have counts for

collaborators

15 papers

cs.CV2025

Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers

Tzuhsuan Huang, Cheng Yu Yeo, Tsai-Ling Huang +3

Recent studies on deep watermarking have predominantly focused on in-processing watermarking, which integrates the watermarking process into image generation. However, post-process…

cs.CV2025

RecipeGen: A Step-Aligned Multimodal Benchmark for Real-World Recipe Generation

Ruoxuan Zhang, Jidong Gao, Bin Wen +4

Creating recipe images is a key challenge in food computing, with applications in culinary education and multimodal recipe assistants. However, existing datasets lack fine-grained…

cs.CV2025

EmoArt: A Multidimensional Dataset for Emotion-Aware Artistic Generation

Cheng Zhang, Hongxia xie, Bin Wen +3

With the rapid advancement of diffusion models, text-to-image generation has achieved significant progress in image resolution, detail fidelity, and semantic alignment, particularl…

cs.LG2025★ 1 cited

Swapped Logit Distillation via Bi-level Teacher Alignment

Stephen Ekaputra Limantoro, Jhe-Hao Lin, Chih-Yu Wang +4

Knowledge distillation (KD) compresses the network capacity by transferring knowledge from a large (teacher) network to a smaller one (student). It has been mainstream that the tea…

cs.CV2025

Single Document Image Highlight Removal via A Large-Scale Real-World Dataset and A Location-Aware Network

Lu Pan, Yu-Hsuan Huang, Hongxia Xie +4

Reflective documents often suffer from specular highlights under ambient lighting, severely hindering text readability and degrading overall visual quality. Although recent deep le…

cs.CV2025

Foreground Focus: Enhancing Coherence and Fidelity in Camouflaged Image Generation

Pei-Chi Chen, Yi Yao, Chan-Feng Hsu +4

Camouflaged image generation is emerging as a solution to data scarcity in camouflaged vision perception, offering a cost-effective alternative to data collection and labeling. Rec…