204 citations · 213 across the 16 of their papers we have counts for
6 papers · 1 filter
Convolutional Networks as Extremely Small Foundation Models: Visual Prompting and Theoretical Perspective
Jianqiao Wangni
Comparing to deep neural networks trained for specific tasks, those foundational deep networks trained on generic datasets such as ImageNet classification, benefits from larger-sca…
Deep Nonparametric Convexified Filtering for Computational Photography, Image Synthesis and Adversarial Defense
Jianqiao Wangni
We aim to provide a general framework of for computational photography that recovers the real scene from imperfect images, via the Deep Nonparametric Convexified Filtering (DNCF).…
Relay Diffusion: Unifying diffusion process across resolutions for image synthesis
Jiayan Teng, Wendi Zheng, Ming Ding +4
Diffusion models achieved great success in image synthesis, but still face challenges in high-resolution generation. Through the lens of discrete cosine transformation, we find the…
Robust Boosting Forests with Richer Deep Feature Hierarchy
Jianqiao Wangni
We propose a robust variant of boosting forest to the various adversarial defense methods, and apply it to enhance the robustness of the deep neural network. We retain the deep net…
Normalized Diversification
Shaohui Liu, Xiao Zhang, Jianqiao Wangni +1
Generating diverse yet specific data is the goal of the generative adversarial network (GAN), but it suffers from the problem of mode collapse. We introduce the concept of normaliz…
Monocular 3D Pose Recovery via Nonconvex Sparsity with Theoretical Analysis
Jianqiao Wangni, Dahua Lin, Ji Liu +2
For recovering 3D object poses from 2D images, a prevalent method is to pre-train an over-complete dictionary of 3D basis poses. During testing, the detect…