112 citations · 113 across the 5 of their papers we have counts for
5 papers
Towards A Unified Neural Architecture for Visual Recognition and Reasoning
Calvin Luo, Boqing Gong, Ting Chen +1
Recognition and reasoning are two pillars of visual understanding. However, these tasks have an imbalance in focus; whereas recent advances in neural networks have shown strong emp…
Does Visual Pretraining Help End-to-End Reasoning?
Chen Sun, Calvin Luo, Xingyi Zhou +2
We aim to investigate whether end-to-end learning of visual reasoning can be achieved with general-purpose neural networks, with the help of visual pretraining. A positive result w…
Understanding Diffusion Models: A Unified Perspective
Calvin Luo
Diffusion models have shown incredible capabilities as generative models; indeed, they power the current state-of-the-art models on text-conditioned image generation such as Imagen…
Data Augmentation via Structured Adversarial Perturbations
Calvin Luo, Hossein Mobahi, Samy Bengio
Data augmentation is a major component of many machine learning methods with state-of-the-art performance. Common augmentation strategies work by drawing random samples from a spac…
Scalable Recommender Systems through Recursive Evidence Chains
Elias Tragas, Calvin Luo, Maxime Gazeau +2
Recommender systems can be formulated as a matrix completion problem, predicting ratings from user and item parameter vectors. Optimizing these parameters by subsampling data becom…