55 citations · 92 across the 7 of their papers we have counts for
8 papers
Open-Vocabulary 3D Semantic Segmentation with Text-to-Image Diffusion Models
Xiaoyu Zhu, Hao Zhou, Pengfei Xing +6
In this paper, we investigate the use of diffusion models which are pre-trained on large-scale image-caption pairs for open-vocabulary 3D semantic understanding. We propose a novel…
An Empirical Study on Clustering Pretrained Embeddings: Is Deep Strictly Better?
Tyler R. Scott, Ting Liu, Michael C. Mozer +1
Recent research in clustering face embeddings has found that unsupervised, shallow, heuristic-based methods -- including -means and hierarchical agglomerative clustering -- unde…
von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning
Tyler R. Scott, Andrew C. Gallagher, Michael C. Mozer
Recent work has argued that classification losses utilizing softmax cross-entropy are superior not only for fixed-set classification tasks, but also by outperforming losses develop…
AVA-ActiveSpeaker: An Audio-Visual Dataset for Active Speaker Detection
Joseph Roth, Sourish Chaudhuri, Ondrej Klejch +8
Active speaker detection is an important component in video analysis algorithms for applications such as speaker diarization, video re-targeting for meetings, speech enhancement, a…
Modeling Uncertainty with Hedged Instance Embedding
Seong Joon Oh, Kevin Murphy, Jiyan Pan +3
Instance embeddings are an efficient and versatile image representation that facilitates applications like recognition, verification, retrieval, and clustering. Many metric learnin…
AVA-Speech: A Densely Labeled Dataset of Speech Activity in Movies
Sourish Chaudhuri, Joseph Roth, Daniel P. W. Ellis +8
Speech activity detection (or endpointing) is an important processing step for applications such as speech recognition, language identification and speaker diarization. Both audio-…
Finding your Lookalike: Measuring Face Similarity Rather than Face Identity
Amir Sadovnik, Wassim Gharbi, Thanh Vu +1
Face images are one of the main areas of focus for computer vision, receiving on a wide variety of tasks. Although face recognition is probably the most widely researched, many oth…
VIP: Finding Important People in Images
Clint Solomon Mathialagan, Andrew C. Gallagher, Dhruv Batra
People preserve memories of events such as birthdays, weddings, or vacations by capturing photos, often depicting groups of people. Invariably, some individuals in the image are mo…