263 citations · 806 across the 42 of their papers we have counts for
49 papers · 1 filter
Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks
Renan A. Rojas-Gomez, Teck-Yian Lim, Alexander G. Schwing +2
We propose learnable polyphase sampling (LPS), a pair of learnable down/upsampling layers that enable truly shift-invariant and equivariant convolutional networks. LPS can be train…
Controllable Radiance Fields for Dynamic Face Synthesis
Peiye Zhuang, Liqian Ma, Oluwasanmi Koyejo +1
Recent work on 3D-aware image synthesis has achieved compelling results using advances in neural rendering. However, 3D-aware synthesis of face dynamics hasn't received much attent…
Learning to Decompose Visual Features with Latent Textual Prompts
Feng Wang, Manling Li, Xudong Lin +3
Recent advances in pre-training vision-language models like CLIP have shown great potential in learning transferable visual representations. Nonetheless, for downstream inference,…
Neural Volumetric Object Selection
Zhongzheng Ren, Aseem Agarwala, Bryan Russell +2
We introduce an approach for selecting objects in neural volumetric 3D representations, such as multi-plane images (MPI) and neural radiance fields (NeRF). Our approach takes a set…
Joint Forecasting of Panoptic Segmentations with Difference Attention
Colin Graber, Cyril Jazra, Wenjie Luo +2
Forecasting of a representation is important for safe and effective autonomy. For this, panoptic segmentations have been studied as a compelling representation in recent work. Howe…
Total Variation Optimization Layers for Computer Vision
Raymond A. Yeh, Yuan-Ting Hu, Zhongzheng Ren +1
Optimization within a layer of a deep-net has emerged as a new direction for deep-net layer design. However, there are two main challenges when applying these layers to computer vi…